This document reviews a wireless biomedical parameter monitoring system using an ARM microcontroller. The proposed system continuously monitors key patient vital signs like temperature, heartbeat, ECG, blood sugar, and oxygen levels using biosensors. The data is transmitted wirelessly to an ARM server using a Zigbee network. If any measurements exceed thresholds, an alarm is triggered and a message is sent to the doctor's phone via GSM. The system aims to allow for remote monitoring of patients after discharge to alert doctors to emergencies in real-time.
Intelligent Healthcare Monitoring in IoTIJAEMSJORNAL
The developing of IoT-based health care systems must ensure and increase the safety of the patients, their quality of life and other health care activities. We may not be aware of the health condition of the patient during the sleeping hours. To overcome this problem. This paper proposes an intelligent healthcare monitoring system which monitors and maintains the patient health condition at regular intervals. The heart rate sensor and temperature sensor would help us analyze the patients’ current health condition. In case of major fluctuations in consecutive intervals a buzzer is run in order to notify the hospital staff and doctors. The monitored details are stored in the cloud "ThingSpeak". The doctor can view the patient health condition using Virtuino simulator. This system would help in reducing the random risks of tracing a patient medical highly. Arduino UNO is used to implement this intelligent healthcare monitoring system.
This document outlines a student project to develop a wireless human health monitoring system. It will use sensors to measure a patient's heartbeat and temperature, transmitting the data via GSM to a receiver where a doctor can monitor the patient's condition remotely. The system aims to make monitoring more affordable and accessible for rural areas. It will help bridge the gap between doctors and patients to save lives. The document describes the existing solutions and their drawbacks, the objectives and modules of the proposed system, and its potential future applications.
This document summarizes an intelligent mobile health monitoring system (IMHMS) that collects biomedical and environmental data from sensors, analyzes the data using an intelligent medical server, and provides medical feedback to patients through their mobile devices. The system aims to improve healthcare access and provide personalized health monitoring anywhere through integration of biosensors, wireless networks, and mobile computing. It discusses related works in mobile health monitoring and care. Key aspects of IMHMS include its system architecture, characteristics like long-term ambulatory monitoring and real-time updates, impact on healthcare research through data mining, and future directions like developing the intelligent medical server.
This document summarizes the potential applications and challenges of wireless healthcare technologies. It discusses how wireless devices can enable remote monitoring, diagnosis, and consultation. Some benefits include improved patient quality of life through mobility, reduced costs and wait times. However, challenges include technical issues like battery life, financial models, and patient concerns about privacy, accuracy and radiation exposure.
This document summarizes a presentation on wearable sensors for human activity monitoring. It discusses how wearable sensors can be used to monitor patients' vital signs like temperature, blood pressure, and brain activity. The document reviews several existing studies on using wearable sensors to monitor patients with conditions like Parkinson's disease. It proposes a system using MEMS sensors, ECG sensors, and an Arduino board connected to an Ethernet module to remotely monitor human activity and vital signs. The system would allow for 24/7 monitoring by doctors and caregivers. Future work could involve monitoring hospitalized patients during recovery and rehabilitation.
The document discusses research on using wireless sensor networks for healthcare monitoring. It proposes using environmental and physiological sensor nodes integrated into wireless networks to remotely monitor human health conditions and environment. This could help build an e-healthcare system that monitors, predicts, and informs medical staff to prevent diseases while not interrupting daily activities. The system aims to link human health with environmental monitoring for a holistic view of well-being. Future work includes further development of tools, system design and implementation, analysis of results, and publishing papers on this research topic.
This document discusses the various uses of computers in healthcare. It describes how computers are used for hospital information systems, diagnostic testing, education, and research. Computers are utilized for applications like electronic medical records, scheduling, monitoring patients, and performing diagnostic tests. The document also outlines the history of computers and how computer technology has significantly improved healthcare and enhanced the quality of patient care.
Ecis final paper-june2017_two way architecture between iot sensors and cloud ...Oliver Neuland
Improving health care with IoT - Research into a weight monitoring bed - ECIS 2017 paper.
Resulting from smart furniture applications research project in Germany, Oliver Neuland and partners from AUT developed a smart bed concept which utilizes weight monitoring for AAL and elderly care. Initially strategies were applied to find meaningful use cases, later a prototype was developed. Here a paper presented during ECIS in Portugal which describes the architecture of the prototype.
Intelligent Healthcare Monitoring in IoTIJAEMSJORNAL
The developing of IoT-based health care systems must ensure and increase the safety of the patients, their quality of life and other health care activities. We may not be aware of the health condition of the patient during the sleeping hours. To overcome this problem. This paper proposes an intelligent healthcare monitoring system which monitors and maintains the patient health condition at regular intervals. The heart rate sensor and temperature sensor would help us analyze the patients’ current health condition. In case of major fluctuations in consecutive intervals a buzzer is run in order to notify the hospital staff and doctors. The monitored details are stored in the cloud "ThingSpeak". The doctor can view the patient health condition using Virtuino simulator. This system would help in reducing the random risks of tracing a patient medical highly. Arduino UNO is used to implement this intelligent healthcare monitoring system.
This document outlines a student project to develop a wireless human health monitoring system. It will use sensors to measure a patient's heartbeat and temperature, transmitting the data via GSM to a receiver where a doctor can monitor the patient's condition remotely. The system aims to make monitoring more affordable and accessible for rural areas. It will help bridge the gap between doctors and patients to save lives. The document describes the existing solutions and their drawbacks, the objectives and modules of the proposed system, and its potential future applications.
This document summarizes an intelligent mobile health monitoring system (IMHMS) that collects biomedical and environmental data from sensors, analyzes the data using an intelligent medical server, and provides medical feedback to patients through their mobile devices. The system aims to improve healthcare access and provide personalized health monitoring anywhere through integration of biosensors, wireless networks, and mobile computing. It discusses related works in mobile health monitoring and care. Key aspects of IMHMS include its system architecture, characteristics like long-term ambulatory monitoring and real-time updates, impact on healthcare research through data mining, and future directions like developing the intelligent medical server.
This document summarizes the potential applications and challenges of wireless healthcare technologies. It discusses how wireless devices can enable remote monitoring, diagnosis, and consultation. Some benefits include improved patient quality of life through mobility, reduced costs and wait times. However, challenges include technical issues like battery life, financial models, and patient concerns about privacy, accuracy and radiation exposure.
This document summarizes a presentation on wearable sensors for human activity monitoring. It discusses how wearable sensors can be used to monitor patients' vital signs like temperature, blood pressure, and brain activity. The document reviews several existing studies on using wearable sensors to monitor patients with conditions like Parkinson's disease. It proposes a system using MEMS sensors, ECG sensors, and an Arduino board connected to an Ethernet module to remotely monitor human activity and vital signs. The system would allow for 24/7 monitoring by doctors and caregivers. Future work could involve monitoring hospitalized patients during recovery and rehabilitation.
The document discusses research on using wireless sensor networks for healthcare monitoring. It proposes using environmental and physiological sensor nodes integrated into wireless networks to remotely monitor human health conditions and environment. This could help build an e-healthcare system that monitors, predicts, and informs medical staff to prevent diseases while not interrupting daily activities. The system aims to link human health with environmental monitoring for a holistic view of well-being. Future work includes further development of tools, system design and implementation, analysis of results, and publishing papers on this research topic.
This document discusses the various uses of computers in healthcare. It describes how computers are used for hospital information systems, diagnostic testing, education, and research. Computers are utilized for applications like electronic medical records, scheduling, monitoring patients, and performing diagnostic tests. The document also outlines the history of computers and how computer technology has significantly improved healthcare and enhanced the quality of patient care.
Ecis final paper-june2017_two way architecture between iot sensors and cloud ...Oliver Neuland
Improving health care with IoT - Research into a weight monitoring bed - ECIS 2017 paper.
Resulting from smart furniture applications research project in Germany, Oliver Neuland and partners from AUT developed a smart bed concept which utilizes weight monitoring for AAL and elderly care. Initially strategies were applied to find meaningful use cases, later a prototype was developed. Here a paper presented during ECIS in Portugal which describes the architecture of the prototype.
Wireless healthcare: the next generationJeffrey Funk
The document discusses emerging technologies that enable the next generation of wireless healthcare, including diagnostics, treatment, monitoring and healthy lifestyle support. Key technologies discussed include capsule endoscopy, smart drug delivery systems, digital pill monitoring and mHealth. These technologies leverage advances in processing, sensors, batteries and biomarkers to improve healthcare outcomes while reducing costs.
Real Time Health Monitoring System: A Reviewijtsrd
Generally in critical case patients are supposed to be monitored continuously for their heart rate, oxygen saturation level, blood pressure, body temperature, pulse-oximetry (SPO2) and ECG etc. In the previous methods, the doctors need to be present physically on sight, so that the real time health monitoring system is used every field such as hospital, home care unit, sports using wireless sensor network. This health monitoring system use for chronicle diseases patients who have daily check-up. So, researchers design a system as portable device. Researcher designed different health monitoring system based on requirement. Different platform like Microcontroller, ASIC, PIC microcontroller and embedded systems are used to design the system based on this performance and in the recent years cloud based e-healthcare systems have emerged. In future FPGA based or using IoT we can develop a system which will help to monitor different health parameters. Ajinkya Anant Bandegiri | Pradip Chandrakant Bhaskar"Real Time Health Monitoring System: A Review" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-2 | Issue-1 , December 2017, URL: http://www.ijtsrd.com/papers/ijtsrd7092.pdf http://www.ijtsrd.com/engineering/electronics-and-communication-engineering/7092/real-time-health-monitoring-system-a-review/ajinkya-anant-bandegiri
The document discusses recent advances in wearable sensors. It describes how wearable sensors composed of wireless body area networks, personal servers, and medical servers are being used for health monitoring. Key medical use cases discussed are monitoring Parkinson's disease using movement sensors, stroke rehabilitation using exercise coaching sensors, and detecting head impacts using accelerometers. The document outlines advantages like early disease detection and cost savings, disadvantages like cost and weight of units, and applications in health/wellness monitoring, safety, and sports. The conclusion is that wearable sensors show promise for remote healthcare monitoring with improved integration of sensors and power sources.
IRJET- Wireless Real Time Implementation of Health Assist System for RuralsIRJET Journal
This document summarizes a research paper that proposes a wireless real-time health assist system for rural areas. The system aims to (1) dispense basic medical pills to remote villages, (2) measure patient health metrics like temperature, heart rate and blood pressure, and (3) allow patients to consult with doctors remotely via video calls. The system uses an Arduino microcontroller connected to sensors to measure vital signs and an RFID card reader for patient identification. Patient data is transmitted to a receiver where a doctor can view the information and prescribe pills, which are then dispensed from the system. The researchers believe this system could help address lack of access to healthcare in rural areas.
Wearable System for Vital Signs MeasurementIRJET Journal
This document describes a wearable device that can monitor vital signs such as temperature and heartbeat. The device is designed to be worn like a shirt and contains sensors to measure temperature and heartbeat. It also contains a GPS and GSM module. If the temperature or heartbeat readings go above or below normal ranges, the device will send an SMS alert with the person's location to concerned contacts. The goal is to remotely monitor patients and elderly people's health and send alerts if issues arise. The system was tested and found to reliably measure vital signs and send location alerts by SMS.
mHEALTH: REVIEW OF MOBILE HEALTH MONITORING SYSTEMSIAEME Publication
With rise in world population, cost of healthcare also increased rapidly which led to the demand of low cost health monitoring solutions. In recent times, non-invasive wearable sensors have played an important role in healthcare applications. With advancement in wireless communication technologies, ubiquitous computing and embedded systems, the sensors need not be invasive anymore to accurately monitor a patient's health status, rather can be managed by user itself so as to keep a record of one's health condition. The advancement of healthcare technologies has enabled patients to monitor their vital health parameters on their own, and saves them from regular tiring hospital visits & high cost of laboratory medical checkups. It has also reduced the burden of healthcare service providers, thereby reducing overall medical costs. This paper provides a review of current status of mobile healthcare applications.
This document proposes an IoT-based smart ICU patient monitoring system that collects patient health data from various sensors. The system allows ICU supervisors to add patients and assign them doctors for treatment. It also allows doctors to view patient profiles and medical histories. Sensors measure vital signs like temperature, heart rate, oxygen levels and send this data to the cloud for analysis. The system is intended to help doctors monitor critically ill patients remotely and make timely treatment decisions. It aims to reduce workloads for medical staff and improve ICU patient care and safety.
What is the Internet of Medical Things (IoMT).pdfinsightscare
This article mentions what the Internet of Medical Things is, its' importance, & how it is being used in the healthcare industry & a few prominent devices
This document discusses health monitoring using mobile phones. It provides an overview of existing works on mobile health monitoring systems, comparing their characteristics such as the types of vital signs measured, communication approaches, and trial implementations. Some key issues with existing systems are also addressed, such as usability for older patients and handling private health data. The document concludes that mobile health monitoring has significant potential to improve healthcare, but further work is needed to develop more inclusive and robust systems.
To deal with various technologies which provide smart sensing in healthcare and compare them for their energy usage and battery life and discuss the format of communication to the database of these devices. To put forward devices which use smart sensors in advanced medical check-ups. To discuss the prospects of upcoming technology called Smart Dust in e-health and its advantages and effects for better deployment of trustworthy services in healthcare keeping in mind all the capabilities of the Smart Sensor.
1. A new handheld ECG device has been developed to allow users to easily record their electrocardiogram (ECG) data anywhere and anytime without the help of medical technicians.
2. Clinical studies show the handheld ECG provides accurate ECG measurements and reliable wireless data transmission capabilities.
3. The handheld ECG can be used for clinical screening and health monitoring as part of a new telemedicine system, allowing physicians to remotely monitor patients' heart function.
This document discusses the use of standard-based design for personal health solutions using IEEE 11073 (X73) standards. It describes how X73PHD standards can enable interoperability between personal health devices (PHDs) and centralized systems or managers. Example applications discussed include using X73PHDs for ambient assisted living, intensive care unit monitoring, health and wellness, and integrating PHD data into electronic health records. Open challenges mentioned include developing X73PHD testbed environments and integrating X73PHD standards with other standards like SCP-ECG, EN13606, and HL7.
This document proposes a remote health monitoring system using wearable body sensors to monitor cardiovascular patients. The system has three tiers: 1) Wearable sensors like a Holter monitor collect physiological data. 2) A personal server stores and analyzes the data using an intelligent assistant and notifies medical staff of emergencies. 3) A medical server connected to the cloud allows doctors and family to access the data from anywhere. The system prioritizes critical data like ECG to ensure emergency situations are addressed promptly while compressing other data to efficiently use storage. This new technology could help reduce mortality by enabling real-time monitoring of patients' cardiovascular health.
The objective of project is to improve end-users’ Healthcare experience through its IoT-based Healthcare services and to support business incubation scheme with better
regulatory support
Technology is revolutionizing every industry, but
health care is especially seeing major
transformations that boost the quality of care,
provider efficiency, and patient convenience. The
impact of these four health care technology
advances is staggering.
WBSN based safe lifestyle: a case study of heartrate monitoring system IJECEIAES
A Heart is the vital organ of the body. According to the “world health statistics 2017” by WHO, about 460,000 people die due to fatal heart attacks every year. To reduce the death rate due to fatal heart attacks and malfunctioning of the cardiovascular system, this paper proposed a Wireless Body Sensor Network (WBSN) based, portable, easily affordable, miniatured, accurate “Heartrate Monitoring System (HMS)”. HMS can be used to regularly examine the cardiac condition at home or hospital to avoid or early detection of any serious condition. Heartrate Monitoring Algorithm (HMA) was designed to observe the spread heartbeat spectrum and worked at the backend of HMS. A case study was performed for forty healthy young subjects. Each subject data was computed for 푠푢푏 ̅̅̅̅̅ − 3푆 푑 < 푠푢푏 < 푠푢푏 ̅̅̅̅̅ + 3푆 . All subjects’ 99% data lie in the custom range. The result produced by HMS was the same as the previous medical record of subjects.
Real-time Heart Pulse Monitoring Technique Using Wireless Sensor Network and ...IJECEIAES
This summarizes a document describing a real-time heart pulse monitoring system using a wireless sensor network and mobile application. The proposed system measures a patient's heart pulse using an infrared sensor. It then amplifies and filters the signal before sending it over a network using an Arduino board and Ethernet shield. The heart pulse values are displayed on both a computer-based and smartphone-based application in real-time. The system was tested on 10 people of varying ages, genders, and health statuses, and the results were within normal heart pulse ranges according to medical standards.
In the last decade the healthcare monitoring systems have drawn considerable attentions of the researchers. The prime goal was to develop a reliable patient monitoring system so that the healthcare professionals can monitor their patients, who are either hospitalized or executing their normal daily life activities. In this work we present a mobile device based wireless healthcare monitoring system that can provide real time online information about physiological conditions of a patient. Our proposed system is designed to measure and monitor important physiological data of a patient in order to accurately describe the status of her/his health and fitness. In addition the proposed system is able to send alarming message about the patient’s critical health data by text messages or by email reports. By using the information contained in the text or e-mail message the healthcare professional can provide necessary medical
advising. The system mainly consists of sensors, the data acquisition unit, microcontroller (i.e., Arduino), and software (i.e., LabVIEW). The patient’s temperature, heart beat rate, muscles, blood pressure, blood glucose level, and ECG data are monitored, displayed, and stored by our system. To ensure reliability and accuracy the proposed system has been field tested. The test results show that our system is able to measure the patient’s physiological data with a very high accuracy.
IoT and machine learning (ML) are becoming increasingly efficient in the medical and telemedicine areas all around the world. This article describes a system that employs latest technology to give a more accurate method of forecasting disease. This technology uses sensors to collect data from the body of the patient. The obtained sensor information is collected with NodeMcU before being transferred to the Cloud Platform "ThinkSpeak" through an ESP8266 Wi-Fi module. ThinkSpeak is a cloud server that provides real-time data streams in the cloud. For the best results, data currently saved in the cloud is evaluated by one of the machine learning algorithms, the KNN algorithm. Based on the findings of the analysis and compared with the data sets, the disease is predicted and a prescription for the relevant disease is issued.
This document describes an IoT-based patient health monitoring system. The system collects patient vital signs like ECG, temperature, and heart rate using sensors. The sensor data is transmitted to a microcontroller and then sent to the cloud using WiFi. If any abnormal readings are detected, the system alerts caregivers. The system allows for remote monitoring of elderly or chronically ill patients to avoid long hospital stays. It records health data over time which can be useful for future analysis and review of a patient's condition. The system could be improved in the future by adding sensors to monitor additional vitals like blood pressure.
Wireless Medical Surveillance System Using Raspberry Pi and X-Bee By. Nikhil ...nikhilpatewar
The document describes a wireless medical surveillance system using a Raspberry Pi and X-Bee devices. It discusses how existing patient monitoring systems use wired connections that make it difficult to monitor patients who need to be moved. The proposed system uses wireless sensors connected to an X-Bee module to transmit patient data like temperature, oxygen levels, ECG readings to a Raspberry Pi base station. This allows for continuous remote monitoring of patients and alerts caregivers if readings exceed thresholds, making the system more flexible and effective for medical care.
Wireless healthcare: the next generationJeffrey Funk
The document discusses emerging technologies that enable the next generation of wireless healthcare, including diagnostics, treatment, monitoring and healthy lifestyle support. Key technologies discussed include capsule endoscopy, smart drug delivery systems, digital pill monitoring and mHealth. These technologies leverage advances in processing, sensors, batteries and biomarkers to improve healthcare outcomes while reducing costs.
Real Time Health Monitoring System: A Reviewijtsrd
Generally in critical case patients are supposed to be monitored continuously for their heart rate, oxygen saturation level, blood pressure, body temperature, pulse-oximetry (SPO2) and ECG etc. In the previous methods, the doctors need to be present physically on sight, so that the real time health monitoring system is used every field such as hospital, home care unit, sports using wireless sensor network. This health monitoring system use for chronicle diseases patients who have daily check-up. So, researchers design a system as portable device. Researcher designed different health monitoring system based on requirement. Different platform like Microcontroller, ASIC, PIC microcontroller and embedded systems are used to design the system based on this performance and in the recent years cloud based e-healthcare systems have emerged. In future FPGA based or using IoT we can develop a system which will help to monitor different health parameters. Ajinkya Anant Bandegiri | Pradip Chandrakant Bhaskar"Real Time Health Monitoring System: A Review" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-2 | Issue-1 , December 2017, URL: http://www.ijtsrd.com/papers/ijtsrd7092.pdf http://www.ijtsrd.com/engineering/electronics-and-communication-engineering/7092/real-time-health-monitoring-system-a-review/ajinkya-anant-bandegiri
The document discusses recent advances in wearable sensors. It describes how wearable sensors composed of wireless body area networks, personal servers, and medical servers are being used for health monitoring. Key medical use cases discussed are monitoring Parkinson's disease using movement sensors, stroke rehabilitation using exercise coaching sensors, and detecting head impacts using accelerometers. The document outlines advantages like early disease detection and cost savings, disadvantages like cost and weight of units, and applications in health/wellness monitoring, safety, and sports. The conclusion is that wearable sensors show promise for remote healthcare monitoring with improved integration of sensors and power sources.
IRJET- Wireless Real Time Implementation of Health Assist System for RuralsIRJET Journal
This document summarizes a research paper that proposes a wireless real-time health assist system for rural areas. The system aims to (1) dispense basic medical pills to remote villages, (2) measure patient health metrics like temperature, heart rate and blood pressure, and (3) allow patients to consult with doctors remotely via video calls. The system uses an Arduino microcontroller connected to sensors to measure vital signs and an RFID card reader for patient identification. Patient data is transmitted to a receiver where a doctor can view the information and prescribe pills, which are then dispensed from the system. The researchers believe this system could help address lack of access to healthcare in rural areas.
Wearable System for Vital Signs MeasurementIRJET Journal
This document describes a wearable device that can monitor vital signs such as temperature and heartbeat. The device is designed to be worn like a shirt and contains sensors to measure temperature and heartbeat. It also contains a GPS and GSM module. If the temperature or heartbeat readings go above or below normal ranges, the device will send an SMS alert with the person's location to concerned contacts. The goal is to remotely monitor patients and elderly people's health and send alerts if issues arise. The system was tested and found to reliably measure vital signs and send location alerts by SMS.
mHEALTH: REVIEW OF MOBILE HEALTH MONITORING SYSTEMSIAEME Publication
With rise in world population, cost of healthcare also increased rapidly which led to the demand of low cost health monitoring solutions. In recent times, non-invasive wearable sensors have played an important role in healthcare applications. With advancement in wireless communication technologies, ubiquitous computing and embedded systems, the sensors need not be invasive anymore to accurately monitor a patient's health status, rather can be managed by user itself so as to keep a record of one's health condition. The advancement of healthcare technologies has enabled patients to monitor their vital health parameters on their own, and saves them from regular tiring hospital visits & high cost of laboratory medical checkups. It has also reduced the burden of healthcare service providers, thereby reducing overall medical costs. This paper provides a review of current status of mobile healthcare applications.
This document proposes an IoT-based smart ICU patient monitoring system that collects patient health data from various sensors. The system allows ICU supervisors to add patients and assign them doctors for treatment. It also allows doctors to view patient profiles and medical histories. Sensors measure vital signs like temperature, heart rate, oxygen levels and send this data to the cloud for analysis. The system is intended to help doctors monitor critically ill patients remotely and make timely treatment decisions. It aims to reduce workloads for medical staff and improve ICU patient care and safety.
What is the Internet of Medical Things (IoMT).pdfinsightscare
This article mentions what the Internet of Medical Things is, its' importance, & how it is being used in the healthcare industry & a few prominent devices
This document discusses health monitoring using mobile phones. It provides an overview of existing works on mobile health monitoring systems, comparing their characteristics such as the types of vital signs measured, communication approaches, and trial implementations. Some key issues with existing systems are also addressed, such as usability for older patients and handling private health data. The document concludes that mobile health monitoring has significant potential to improve healthcare, but further work is needed to develop more inclusive and robust systems.
To deal with various technologies which provide smart sensing in healthcare and compare them for their energy usage and battery life and discuss the format of communication to the database of these devices. To put forward devices which use smart sensors in advanced medical check-ups. To discuss the prospects of upcoming technology called Smart Dust in e-health and its advantages and effects for better deployment of trustworthy services in healthcare keeping in mind all the capabilities of the Smart Sensor.
1. A new handheld ECG device has been developed to allow users to easily record their electrocardiogram (ECG) data anywhere and anytime without the help of medical technicians.
2. Clinical studies show the handheld ECG provides accurate ECG measurements and reliable wireless data transmission capabilities.
3. The handheld ECG can be used for clinical screening and health monitoring as part of a new telemedicine system, allowing physicians to remotely monitor patients' heart function.
This document discusses the use of standard-based design for personal health solutions using IEEE 11073 (X73) standards. It describes how X73PHD standards can enable interoperability between personal health devices (PHDs) and centralized systems or managers. Example applications discussed include using X73PHDs for ambient assisted living, intensive care unit monitoring, health and wellness, and integrating PHD data into electronic health records. Open challenges mentioned include developing X73PHD testbed environments and integrating X73PHD standards with other standards like SCP-ECG, EN13606, and HL7.
This document proposes a remote health monitoring system using wearable body sensors to monitor cardiovascular patients. The system has three tiers: 1) Wearable sensors like a Holter monitor collect physiological data. 2) A personal server stores and analyzes the data using an intelligent assistant and notifies medical staff of emergencies. 3) A medical server connected to the cloud allows doctors and family to access the data from anywhere. The system prioritizes critical data like ECG to ensure emergency situations are addressed promptly while compressing other data to efficiently use storage. This new technology could help reduce mortality by enabling real-time monitoring of patients' cardiovascular health.
The objective of project is to improve end-users’ Healthcare experience through its IoT-based Healthcare services and to support business incubation scheme with better
regulatory support
Technology is revolutionizing every industry, but
health care is especially seeing major
transformations that boost the quality of care,
provider efficiency, and patient convenience. The
impact of these four health care technology
advances is staggering.
WBSN based safe lifestyle: a case study of heartrate monitoring system IJECEIAES
A Heart is the vital organ of the body. According to the “world health statistics 2017” by WHO, about 460,000 people die due to fatal heart attacks every year. To reduce the death rate due to fatal heart attacks and malfunctioning of the cardiovascular system, this paper proposed a Wireless Body Sensor Network (WBSN) based, portable, easily affordable, miniatured, accurate “Heartrate Monitoring System (HMS)”. HMS can be used to regularly examine the cardiac condition at home or hospital to avoid or early detection of any serious condition. Heartrate Monitoring Algorithm (HMA) was designed to observe the spread heartbeat spectrum and worked at the backend of HMS. A case study was performed for forty healthy young subjects. Each subject data was computed for 푠푢푏 ̅̅̅̅̅ − 3푆 푑 < 푠푢푏 < 푠푢푏 ̅̅̅̅̅ + 3푆 . All subjects’ 99% data lie in the custom range. The result produced by HMS was the same as the previous medical record of subjects.
Real-time Heart Pulse Monitoring Technique Using Wireless Sensor Network and ...IJECEIAES
This summarizes a document describing a real-time heart pulse monitoring system using a wireless sensor network and mobile application. The proposed system measures a patient's heart pulse using an infrared sensor. It then amplifies and filters the signal before sending it over a network using an Arduino board and Ethernet shield. The heart pulse values are displayed on both a computer-based and smartphone-based application in real-time. The system was tested on 10 people of varying ages, genders, and health statuses, and the results were within normal heart pulse ranges according to medical standards.
In the last decade the healthcare monitoring systems have drawn considerable attentions of the researchers. The prime goal was to develop a reliable patient monitoring system so that the healthcare professionals can monitor their patients, who are either hospitalized or executing their normal daily life activities. In this work we present a mobile device based wireless healthcare monitoring system that can provide real time online information about physiological conditions of a patient. Our proposed system is designed to measure and monitor important physiological data of a patient in order to accurately describe the status of her/his health and fitness. In addition the proposed system is able to send alarming message about the patient’s critical health data by text messages or by email reports. By using the information contained in the text or e-mail message the healthcare professional can provide necessary medical
advising. The system mainly consists of sensors, the data acquisition unit, microcontroller (i.e., Arduino), and software (i.e., LabVIEW). The patient’s temperature, heart beat rate, muscles, blood pressure, blood glucose level, and ECG data are monitored, displayed, and stored by our system. To ensure reliability and accuracy the proposed system has been field tested. The test results show that our system is able to measure the patient’s physiological data with a very high accuracy.
IoT and machine learning (ML) are becoming increasingly efficient in the medical and telemedicine areas all around the world. This article describes a system that employs latest technology to give a more accurate method of forecasting disease. This technology uses sensors to collect data from the body of the patient. The obtained sensor information is collected with NodeMcU before being transferred to the Cloud Platform "ThinkSpeak" through an ESP8266 Wi-Fi module. ThinkSpeak is a cloud server that provides real-time data streams in the cloud. For the best results, data currently saved in the cloud is evaluated by one of the machine learning algorithms, the KNN algorithm. Based on the findings of the analysis and compared with the data sets, the disease is predicted and a prescription for the relevant disease is issued.
This document describes an IoT-based patient health monitoring system. The system collects patient vital signs like ECG, temperature, and heart rate using sensors. The sensor data is transmitted to a microcontroller and then sent to the cloud using WiFi. If any abnormal readings are detected, the system alerts caregivers. The system allows for remote monitoring of elderly or chronically ill patients to avoid long hospital stays. It records health data over time which can be useful for future analysis and review of a patient's condition. The system could be improved in the future by adding sensors to monitor additional vitals like blood pressure.
Wireless Medical Surveillance System Using Raspberry Pi and X-Bee By. Nikhil ...nikhilpatewar
The document describes a wireless medical surveillance system using a Raspberry Pi and X-Bee devices. It discusses how existing patient monitoring systems use wired connections that make it difficult to monitor patients who need to be moved. The proposed system uses wireless sensors connected to an X-Bee module to transmit patient data like temperature, oxygen levels, ECG readings to a Raspberry Pi base station. This allows for continuous remote monitoring of patients and alerts caregivers if readings exceed thresholds, making the system more flexible and effective for medical care.
IOSR Journal of Electronics and Communication Engineering(IOSR-JECE) is an open access international journal that provides rapid publication (within a month) of articles in all areas of electronics and communication engineering and its applications. The journal welcomes publications of high quality papers on theoretical developments and practical applications in electronics and communication engineering. Original research papers, state-of-the-art reviews, and high quality technical notes are invited for publications.
IoT Based Intelligent Medicine Box with AssistanceIRJET Journal
This document describes an intelligent medicine box that stores medicines and alerts patients to take their medicines on time. It measures various health parameters like pulse rate, blood pressure, temperature, and ECG and sends this data to the cloud for doctors to monitor. The system has two units - a GSM timer unit that sends medicine reminders to patients, and a sensor unit that measures health parameters and uploads the data to the cloud using Firebase IoT so doctors can monitor patients' health online. The system is designed to improve medication adherence and allow remote patient monitoring.
GSM technology is used to monitor the different parameters of an ICU patient remotely and also control over medicine dosage is provided. Measurements of vital signs and behavioral patterns can be translated into accurate predictors of health risk ,even at an early stage and can be combined with alarm triggering systems in order to initiate the appropriate actions. The conventional methods including wet adhesive Ag/AgCl electrodes for HR and HRV, the capnograph device for respiratory status and pulse oximetry for oxyhemoglobin saturation provide excellent signals but are expensive, troublesome and inconvenient. A method to monitor physiological information based on GSM offers a new means for health monitoring. In this paper, we review the latest developments in monitoring and discuss the challenges and future directions for this field.
Android Based Patient Health Monitoring SystemIRJET Journal
1) This document describes an Android-based patient health monitoring system that uses wearable sensors and a mobile application.
2) The system includes sensors that measure a patient's temperature, pulse, blood pressure, and humidity. The sensor data is sent via Bluetooth to an Android application on the patient's phone and from there to a server via WiFi.
3) The system allows doctors to monitor a patient's vital signs in real-time from their desktop. It also tracks the patient's location using latitude and longitude. An alert is triggered if the vital signs exceed preset thresholds.
The epidemic growth of wireless technology and mobile services in this epoch is creating a great impact on our life style. Some early efforts have been taken to utilize these technologies in medical industry. In this field, ECG sensor based advanced wireless patient monitoring system concept is a new innovative idea. This system aims to provide health care to the patient. We have sensed the patient’s ECG through 3 lead electrode system via AD8232 which amplifies minor and small bio-signals to the arduino which processes them, along with saline level. Saline level is detected through IR sensors. The output of the electrical pulse is shown with the serial monitor. The saline level is indicated by LCD. The major output ECG analog signal is displayed on serial plotter. The outputs are displayed through mobile application.
An IoT Based Patient Health Monitoring System Using Arduino UnoLeonard Goudy
This document summarizes a research paper that proposes an IoT-based patient health monitoring system using an Arduino Uno board. The system collects data on parameters like heart rate, body temperature, and blood pressure from sensors and sends it wirelessly to a IoT website. The data is analyzed to monitor patients' health and notify them or their doctors of any critical conditions. The proposed system was tested and able to accurately measure and transmit sensor data on the IoT site.
Implementation Of Real Time IoT Based Health monitoring systemkchakrireddy
The main aim of this project is to interconnect the available medical resources and offer smart, reliable, and effective healthcare service to elderly people. Health monitoring for active and assisted living is one of the paradigms that can use the IOT advantages to improve the elderly lifestyle in this project we present an IOT architecture customized for healthcare applications. The proposed architecture collects the data and relays it to the cloud where it is processed and analyzed. Feedback actions based on the analyzed data can be sent back to the user.
Patient Health Monitoring System using IOTIRJET Journal
This document describes a patient health monitoring system using the Internet of Things. The system uses sensors to measure a patient's temperature, heart rate, and other vital signs. The sensor data is sent via Bluetooth or WiFi to an Android smartphone app. The app monitors for any abnormalities and will send alerts to the patient's doctor and relatives if issues are detected. The system aims to allow for continuous at-home monitoring of patients after they leave the hospital to help prevent health issues and speed up response times in emergencies.
This document describes a patient monitoring system using Android technology. It discusses collecting a patient's vital signs like ECG, heart rate, breathing rate, temperature, and oxygen saturation from a monitoring device and entering them into a database. The data is then uploaded to a web-based server and sent to a doctor's phone using an Android app. The app allows doctors to remotely monitor the patient's parameters and provide feedback to the nurse station. The system aims to improve patient care by enabling constant monitoring and early intervention before doctors reach the hospital.
SPOC: A Secure and Private-pressuring Opportunity Computing Framework for Mob...ijbuiiir1
Today we have an abundant increase in the development of Information and Technology, which inturn made the Humans body even to carry a Mini- Computer in their Palms with Screen touch, Ex: Smart phone�s & Tablets etc., and parallel with the rich Enhancement in the Wireless Body Sensor Units, it is quite useful to the Enrichment of the Medical Treatment to be perfectly useful, comfortable via Smart Phones Using the networks (2G & 3G) carriers and made the treatment very easy even to the Common person in the society with the low cost money. With these the healthcare Authorities can treat the Patients (medical users) remotely where the patients reside at home or company or school or college or anywhere or at various places they work. This type of a treatment called for MHealthcare (Mobile- Healthcare). Although in the mhealthcare service there are many security and data Private problems to be overcome. Here we have A Secure and Private- Preserving Opportunistic Computing Framework called M-HealthCare, for Mobile-Healthcare Emergency. Using the Smart phone and SPOC, the Software or Hardware like computing power and energy can be gathered opportunistically to process the intensive Personal Health Information (PHI) of the medical user when he/she is in critical situation with minimal Private Disclosure. And also we introduce an efficient usercentric Private access control in SPOC Framework which is based on attribute access control and a new privatepreserving scalar product computation (PPSPC) technique and Makes a medical user (patient) to participate in opportunistic computing in transmitting his PHI data. Elaborated security analysis describes that the proposed SPOC framework can efficiently achieve usercentric Private access control in M-Healthcare emergency. In this paper we introduce Private-Preserving Support for Mobile Healthcare using Message Digest where we have used MD5 algorithm ,which can certainly achieves an efficient way and minimizes the memory consumed and the large amount of PHI data of the medical user (patient) is reduced to a fixed amount of size compared to AES which parallels increases the Speed of the data to be sent to TA without any delay which in-turn the professionals at Healthcare center can get exactly the Recent tablet user PHI data and can save their lives in correct time. As the algorithm is provided tight security in transmitting the patients PHI to TA. In respective performance evaluations with extensive simulations explains the MD (message digest) effectiveness in-term of providing high-reliable Personal Health Information (PHI) process and transmission while reducing the Private disclosure during Mobile-Healthcare emergency
Survey of IOT based Patient Health Monitoring Systemdbpublications
The Internet of things has provided a promising opportunity and applications for medical services is one of the most important way or solution for taking care of population which is in rapid growth. Internet of things consists of communication and sensors; wireless body area network is highly suitable tool for the medical IOT device. In this survey we discuss mainly on practical issues for implementation of WBAN to health care service tool for the medical devices. The IoT applications are key enabling technologies in industries. A main aim of this survey paper is that it summarizes the present state-of-the-art IOT in industries and also in workflow hospitals systematically. In recent years wide range of opportunity and powerful of IOT applications are developed in industry. The health monitoring system is a big challenge for several researchers. In this paper introduced on the survey of different IOT applications are used for the health monitoring system. The IoT applications are used to decrease the problems which are related to health care system.
As the world's aging population increases, wireless sensor networks can help monitor the health of elderly patients. These networks allow continuous monitoring of vital signs from wearable sensors. Researchers are working to optimize these networks for power efficiency, security, and management. Wireless health monitoring provides advantages over wired systems by allowing remote patient monitoring and emergency alerts anywhere. However, data transmission over infrastructure networks may not always be possible, so ad hoc wireless networks are needed for continuous monitoring in more locations.
Internet of Things IoT Based Healthcare Monitoring System using NodeMCU and A...ijtsrd
Today Internet has become one of the important parts of daily life. It has changed how people live, work, play and learn. Internet serves for many purposes educations, finance, Business, Industries, Entertainment, Social Networking, etc. The IoT is connected objects to the Internet and used to control of those objects or remote monitoring. A health care monitoring system is necessary to constantly monitor the patient's physiological parameters. The main advantage of this system is that the results can be viewed at any time and place. The doctors can be notified by using mobile phones messages if patient health is abnormal. In this system, heartbeat sensor, temperature sensor and blood pressure sensor are used. The system can analyze the signal to detect normal or abnormal conditions. In the system, the internet of things IoT is becoming a major platform for many services and applications. The IoT is generally considered as connecting objects to the Internet and using that connection for control of those objects or remote monitoring. Khin Thet Wai | Nyan Phyo Aung | Lwin Lwin Htay "Internet of Things (IoT) Based Healthcare Monitoring System using NodeMCU and Arduino UNO" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-3 | Issue-5 , August 2019, URL: https://www.ijtsrd.com/papers/ijtsrd26482.pdfPaper URL: https://www.ijtsrd.com/engineering/electronics-and-communication-engineering/26482/internet-of-things-iot-based-healthcare-monitoring-system-using-nodemcu-and-arduino-uno/khin-thet-wai
This document summarizes literature on health care monitoring systems using wireless sensors and cloud storage. It discusses technologies like ZigBee, embedded microcontrollers, and Bluetooth that are used in wireless sensor networks to monitor patient vitals. The data collected is stored in the cloud and can be accessed by doctors. Challenges discussed include ensuring reliability, quality of service, security, and privacy of patient data. The literature proposes systems for continuous remote patient monitoring, early warning systems, and alerting doctors and caregivers of any issues.
IRJET- An Efficient Health Care System for Human Anatomy using IoTIRJET Journal
This document presents a proposed system for an efficient healthcare system using IoT (Internet of Things) technology. The system would allow for continuous remote monitoring of patients' health conditions through sensors that collect data like temperature, pulse, and alcohol levels. The sensor data would be sent to the cloud and shared with doctors and family members. If an emergency is detected based on the health data, an alert would be sent via GSM to notify the doctor. The doctor could then send any prescriptions through the cloud system to the patient. The goal is to provide better healthcare access for patients by allowing remote health monitoring and emergency detection/response through an IoT-based system.
E-HEALTH BIOSENSOR PLATFORM FOR NONINVASIVE HEALTH MONITORING FOR THE ELDERLY...ijbesjournal
New technologies in the field of tele-health using biosensor systems for non-invasive vital signs monitoring of patients, especially elderly people who need long-term care, and marginalized areas with hard to reach health care services are emerging. A study involving a self-care approach within the cardiac domain, where late detection increases the likelihood of patient disability or of premature death is proposed. In the
study the application of e-health biosensors platform in medical services is experimented. The study resulted into the synthesis of vital signs from various body positions with biosensors that does not require a full coupled system. A model for the prevention of cardiovascular disease management based on noninvasive personal health monitoring systems with easy access for everybody, at any time or location is designed. A personal vital sign system such as ECG sensor which contain the functionality, allows recording anywhere and at any time a diagnostic quality ECG and analyzing it “on-board” by comparing it to a reference ECG, is modelled. The model called Mobile Health for the Elderly Persons (MOHELP)
which relies on with application in estimation and control of boolean processes based on noisy and incomplete measurements is designed. This enabled a reliable recommendation from a digital artificial intelligence-based diagnosis, which can support an elderly person to take timely and correct decisions upon his (her) health status. In a case of urgency, the assistant puts the elderly person in a contact with
healthcare providers. The signal pattern sensitivity related to sensors placement is one of the issues this study addressed using e-sensor platform. Sensors displacement errors have a direct impact on the medical diagnosis, especially if the diagnostic procedure is automated. The study resulted into the formulation of a methodology for e-Health Sensor Platform, in software architecture terms, that permits use of system
biosensors to adapt to the user-specific context for self-healthcare
This document proposes methods for generating electricity from speed breakers. It discusses 5 classifications of speed breaker power generators that use different mechanisms: 1) a chain drive mechanism, 2) a rack and pinion system, 3) direct use of the load through a reciprocating device, 4) a translator and stator topology, and 5) a pressure lever mechanism. The document also outlines the advantages of using speed breakers for power generation such as low cost and maintenance and being a renewable source. Some challenges are also noted such as selecting a suitable generator and dealing with rain damage.
Cassava waste water was used as an admixture to replace distilled water in ratios of 5%, 10%, 15%, and 20% for producing sandcrete blocks. 60 sandcrete blocks of size 450mm x 150mm x 225mm were produced with different admixture ratios and a control with 0% admixture. The blocks were cured for 7, 14, 21, and 28 days and then tested for moisture content, specific gravity, water absorption, and compressive strength. Test results showed that blocks with 20% cassava waste water admixture met the minimum compressive strength requirement of 3.30 N/mm2 set by Nigerian standards, indicating the potential of cassava waste water to improve sandcrete block quality and
The document presents a theorem on random fixed points in metric spaces. It begins with introductions to fixed point theory, random fixed point theory, and relevant definitions. The main result is Theorem 3.1, which proves that if a self-mapping E on a complete metric space X satisfies certain contraction conditions involving parameters between 0 and 1, then E has a unique fixed point. The proof constructs a Cauchy sequence that converges to the unique fixed point. The document contributes to the study of random equations and random fixed point theory, which has applications in nonlinear analysis, probability theory, and other fields.
1. The document discusses applying multi-curve reconstruction technology to seismic inversion to improve accuracy and reliability. It focuses on reconstructing SP and RMN curves from well logs that are affected by various distortions.
2. The process of reconstructing the curves involves removing baseline drift, standardizing values, applying linear filtering, and fitting the curves. This removes interference and retains valid lithological information.
3. Reconstructing high quality curves improves the resolution and credibility of seismic inversion results. The method is shown to effectively predict sand distribution with little error.
This document compares the performance of a Minimum-Mean-Square-Error (MMSE) adaptive receiver and a conventional Rake receiver for receiving Ultra-Wideband (UWB) signals over a multipath fading channel. It first describes the UWB pulse shapes and channel model used, including the 6th derivative of the Gaussian pulse and the IEEE 802.15.3a modified Saleh-Valenzuela channel model. It then discusses the Direct-Sequence and Time-Hopping transmission and multiple access schemes for UWB. The document presents the receiver structures for the MMSE adaptive receiver and Rake receiver and compares their performance using MATLAB simulations.
This document summarizes a study on establishing logging interpretation models for reservoir parameters like porosity, permeability, oil saturation, and gas saturation in the Gaotaizi Reservoir of the L Oilfield. Models were developed using core data from 4 wells and include:
1) A porosity model relating acoustic travel time to porosity with an error of 0.92%
2) A permeability model relating permeability to porosity with an error of 0.31%
3) An oil saturation model using resistivity data with empirically determined parameters
4) A method to determine original gas saturation from mercury injection data.
Application of the models improved interpretation precision and allowed recalculation of oil and gas reserves for the
This document discusses predicting spam videos on social media platforms using machine learning. It proposes using attributes like number of likes, comments, and view count to classify videos as spam or not spam. A predictive algorithm is developed that uses threshold values for attributes and natural language processing of comments to classify videos. Testing of the algorithm on a dataset achieved a spam prediction precision of 93.6%. Issues with small datasets decreasing accuracy are also discussed, along with continuing work to address this issue.
1) The study experimentally evaluated the compatibility relationship between polymer solutions and oil layers through core flooding tests with different permeability cores.
2) The results showed that injection rate decreased with increasing polymer concentration and molecular weight, and increased with permeability.
3) Based on the results, boundaries for injection capability were established and a compatibility chart was proposed to guide polymer solution selection for different sedimentary microfacies in the field based on permeability and pore size.
1. The document discusses the identification of lithologic traps in the D3 Member of the Gaonan Region using seismic attribute analysis, acoustic impedance inversion, and sedimentary microfacies analysis.
2. Several lithologic traps were identified in the I and II oil groups of the D3 Member, with the largest trap located between wells G46 and G146X1 covering an area of about 2.35 km2.
3. Impedance inversion, seismic attribute analysis, and sedimentary microfacies characterization using 3D seismic data helped determine the location and development of effective lithologic traps in the thin sandstone-shale interbeds of the target stratum.
This document examines using coal ash as a partial replacement for cement in concrete. Coal ash was substituted for cement at rates of 5%, 10%, and 15% by weight. Testing found that concrete with a 5% substitution of coal ash exhibited only a slight decrease in compressive strength of 2% at 28 days while gaining improved workability. Higher substitution rates of 10% and 15% coal ash led to greater decreases in compressive and tensile strength. The study concludes that a 5% substitution of coal ash for cement provides benefits of reduced cost and improved workability with minimal strength impacts, representing an effective use of a waste material that addresses sustainability.
Accounting professional judgment involves handling accounting events and compiling financial reports according to regulations and standards. However, professional judgment is sometimes manipulated to distort accounting information. The document discusses three ways manipulation occurs: 1) abandoning accounting principles, 2) optional changes to accounting policies, and 3) abuse of accounting estimates. The causes of manipulation include distorted motivations from corporate governance issues and catering to various stakeholder interests. Strengthening supervision and improving the accounting system are proposed to manage manipulation of professional judgment.
The document discusses research on the distribution of oil and water in the eastern block of the Chao202-2 area in China. It establishes standards for identifying oil, poor oil, dry, and water layers using well logging data. Analysis shows structural reservoirs are dominant and fault and sand body configuration control oil-water distribution. Oil-water distribution varies between fault blocks from "up oil, bottom water" to "up water, bottom oil" depending on structure and sand body development.
The document describes an intelligent fault diagnosis system for reciprocating pumps that uses pressure and flow signals as inputs. It consists of hardware for data acquisition and a software system for signal processing, feature extraction, and fault diagnosis using wavelet neural networks. The system was able to accurately diagnose three main fault types - seal ring faults, valve damage, and spring faults - based on differences observed in the pressure curves. Testing on over 12 samples of each fault type achieved a correct diagnosis rate of over 94%. The system provides a fast and effective means of remotely monitoring reciprocating pumps and identifying faults.
This document discusses the application of meta-learning algorithms in banking sector data mining for fraud detection. It proposes using Classification and Regression Tree (CART), AdaBoost, LogitBoost, Bagging and Dagging algorithms for classification of banking transaction data. The experimental results show that Bagging algorithm has the best performance with the lowest misclassification rate, making it effective for banking fraud detection through data mining. Data mining can help banks detect patterns for applications like credit scoring, payment default prediction, fraud detection and risk management by analyzing customer transaction history and loan details.
This document presents a numerical solution for unsteady heat and mass transfer flow past an infinite vertical plate with variable thermal conductivity, taking into account Dufour number and heat source effects. The governing equations are non-linear and coupled, and were solved numerically using an implicit finite difference scheme. Various parameters, including Dufour number and heat source, were found to influence the velocity, temperature, and concentration profiles. Skin friction, Nusselt number, and Sherwood number were also calculated.
The document discusses methods for obtaining a background image using depth information from a depth camera to more accurately extract foreground objects. It finds that accumulating depth images and taking the median value at each pixel provides the most accurate background image. The accuracy of three methods - average, median, and mode - are evaluated using simulated depth data of a captured plane. The median method provides the best results, followed by average, while mode performs worst. More accumulated images provide a more accurate background image across all methods.
This document presents a mathematical model for determining the minimum overtaking sight distance (OSDm) required for an ascending vehicle to safely pass another slower vehicle on a single lane highway with an incline. It defines sight distance, stopping sight distance, perception-reaction time and derives equations to calculate the reaction distance (d1), overtaking distance (d2), vehicle travel distance during overtaking (d3), and total minimum OSDm based on vehicle characteristics, road geometry, and coefficients of friction. The safe overtaking zone is defined as 3 times the minimum OSDm. The model accounts for effects of slope angle and aims to satisfy laws of mechanics for overtaking maneuvers on inclined two-way single lane highways.
This document discusses a novel technique for better analysis of ice properties using Kalman filtering. It summarizes previous research on sea ice segmentation using SAR imagery and dual polarization techniques. It proposes using an automated SAR algorithm along with Kalman filtering to more accurately detect sea ice properties from RADARSAT1 and RADARSAT2 imagery data. The document reviews techniques for image segmentation, dual polarization, PMA detection, and related work on sea ice classification using statistical ice properties, edge preserving region models, and object extraction methods.
This document summarizes a study on the bioaccumulation of heavy metals in bass fish (Morone Saxatilis) caught at Rodoni Cape in the Adriatic Sea in Albania. Samples of bass fish were collected from five sites and analyzed for mercury, lead, and cadmium levels in their muscles. The concentrations of heavy metals varied between fish and sites but were below international limits for human consumption. While the fish were found to be safe for eating, the study recommends continuous monitoring of metal levels in fish from the area due to various factors that can influence metal uptake over time.
This document discusses optimal maintenance policies for repairable systems with linearly increasing hazard rates. It considers a system with a constant repair rate and predetermined availability requirement. There are two maintenance policies: corrective maintenance only, and preventive maintenance at set time intervals. The goal is to determine the preventive maintenance interval that guarantees the availability requirement at minimum cost. Equations are developed to calculate the availability under each policy and the optimal preventive maintenance interval based on both availability and cost. A numerical example is provided to demonstrate the decision process in determining the optimal policy.
Transcript: Details of description part II: Describing images in practice - T...BookNet Canada
This presentation explores the practical application of image description techniques. Familiar guidelines will be demonstrated in practice, and descriptions will be developed “live”! If you have learned a lot about the theory of image description techniques but want to feel more confident putting them into practice, this is the presentation for you. There will be useful, actionable information for everyone, whether you are working with authors, colleagues, alone, or leveraging AI as a collaborator.
Link to presentation recording and slides: https://bnctechforum.ca/sessions/details-of-description-part-ii-describing-images-in-practice/
Presented by BookNet Canada on June 25, 2024, with support from the Department of Canadian Heritage.
9 Ways Pastors Will Use AI Everyday By 2029
These future use cases are only a handful of the many many options generative AI is providing pastors and leaders everywhere. If you learn how AI might enhance and support your ministry, you'll enter into a world that's full of hope for the Gospel.
Learn more at http://www.AIforChurchLeaders.com and http://www.churchtechtoday.com
CNSCon 2024 Lightning Talk: Don’t Make Me Impersonate My IdentityCynthia Thomas
Identities are a crucial part of running workloads on Kubernetes. How do you ensure Pods can securely access Cloud resources? In this lightning talk, you will learn how large Cloud providers work together to share Identity Provider responsibilities in order to federate identities in multi-cloud environments.
How to Optimize Call Monitoring: Automate QA and Elevate Customer ExperienceAggregage
The traditional method of manual call monitoring is no longer cutting it in today's fast-paced call center environment. Join this webinar where industry experts Angie Kronlage and April Wiita from Working Solutions will explore the power of automation to revolutionize outdated call review processes!
Day 5 - Making your Automation Journey Continuous and Beneficial.pdfUiPathCommunity
Check out our full 'Africa Series - Automation Student Developers (EN)' page to register for the full program: https://bit.ly/Africa_Automation_Student_Developers
In our final session, we shall show you how to make your RPA journey continuous, productive, and beneficial; you will also get to know the career-scape for automation professionals. Lastly, you will learn how your college/polytechnic/university can join the UiPath Academic Alliance program.
📕 Detailed agenda:
The Future of AI-Powered Automation
Career Roles and Opportunities in automation
About UiPath Academy and Learning Resources
Introducing the UiPath Student Champions program
Introducing the UiPath Academic Alliance program
Purpose and Objectives of UiPath Academic Alliance
How the UiPath Academic Alliance benefits you and your University
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Introduction to AI-powered automation
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This slide deck is a deep dive the Salesforce latest release - Summer 24, by the famous Stephen Stanley. He has examined the release notes very carefully, and summarised them for the Wellington Salesforce user group, virtual meeting June 27 2024.
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Test Management as Chapter 5 of ISTQB Foundation. Topics covered are Test Organization, Test Planning and Estimation, Test Monitoring and Control, Test Execution Schedule, Test Strategy, Risk Management, Defect Management
Product Listing Optimization Presentation - Gay De La Cruz.pdf
A04530105
1. IOSR Journal of Engineering (IOSRJEN) www.iosrjen.org
ISSN (e): 2250-3021, ISSN (p): 2278-8719
Vol. 04, Issue 05 (May. 2014), ||V3|| PP 01-05
International organization of Scientific Research 1 | P a g e
Wireless Biomedical Parameter Monitoring System Using Arm
Microcontroller: A Review
Anju.C.K (1)
, Lekshmi.S (2)
(1)
Mtech student,VJEC chemperi,Kannur (2)
Assistant professor,VJEC Chemperi,kannur
Abstract: - The main focus of the paper is to implement a model for the real time patient monitoring system.
The proposed system is used to measure the physical parameters like body temperature, heartbeat, ECG, blood
sugar, and oxygen level monitoring with the help of biosensors using arm microcontroller.There are number of
techniques available for the ICU patient‟s health monitoring system with wired communication technology. In
the novel system the patient health is continuously monitored and the acquired data is transmitted to an ARM
server using wireless sensor networks.Here zigbee wireless sensor networks are using for the purpose.
Embedded processor supports for analyzing the input from the patient and the results of all the parameters are
stored in the database. If any abnormality felt by the patient automatic alarm sound will arrive and the message
will send automatically the doctor mobile by using GSM module.
Keywords: - ARM Processor, sensors, Zigbee, GSM, Biomedical monitoring system
I. INTRODUCTION
The electronics technology has entered almost in all aspects of day-to-day life, and the medical field is
not exception for that. The need for well-equipped hospitals and diagnostic centers is increasingday by day as
the people are becoming more conscious about their health problems. Now lets try to find some reasons behind
the increasing percentage of the patients. In today‟s world the life has become very fast. The throat cut
competition for success has made people to work for more than 10 hours per day. Also the factors
like increasing population, increasing pollution has affected day-to-day life. The no.of vehicles and
undisciplined traffic has invited the no. of accidents every day. Also the stress on the mind and brain popularly
known as „Blues‟ are demanding the need for the well-equipped hospitals and diagnostic centers. The today‟s
hospitals are big and covering large areas in a building. They may occupy no.of floors in one building. Different
wards are situated at different places such as men‟s ward, women‟s ward, maternity ward, general ward, special
rooms and more importantly ICU‟s. Doctors need to keep monitoring all the patients in these wards
continuously, and this requires more number of skilled nurses and other concerned employees. Its not feasible
for the doctors to go to each ward and monitor each patient frequently say after each half an hour. Keeping all
these aspects in the mind we have developed “BIOMEDICAL DATA TRANSMISSION SYSTEM” which can
be used efficiently to get rid of the problems mentioned in above paragraph.
In this system we are continuously monitoring the patient‟s different parameters such as body
temperature and transmitting this data to the doctor‟s cabin continuously. Such sensors can be used for each
patient and the related data can be transmitted to the doctor‟s cabin. At the doctor‟s cabin he can download
data into master card by just pressing one key. We have provided the PC interface in our system to view the
records of different patients situated at different places. Again by just pressing the just one key the doctor can
upload this data to PC from the master card.
In this way it is beneficial for the large hospitals situated in the large cities to use this system. By
employing this system they can reduce their manpower. Also the overhead of the doctors can be reduced up to
large extent and their precious time can be utilized for the some good cause. Also since there are no human
factors for the monitoring and recording purpose the errors can be eliminated and accuracy will be increased.
And thus overall efficiency of the concern hospital will be increased.
Thus our system proves to be a useful one, for the every large-scale hospital to cure the patients quickly and
creating a healthy society.
Recently wireless sensors and sensor networks plays a vital role in the research, technological
community. But there are different from traditional wireless networks as well as computer networks, today the
progress in science and technology offers miniature, speed, intelligence, sophistication, and new materials at
lower cost, resulting in the development of various high-performance smart sensing system. Many new research
is focused at improving quality of human life in terms of health by designing and fabricating sensors which are
either in direct contact with the human body (invasive) or indirectly (noninvasive)[5],. In the current proposed
system the patient health is continuously monitored by the patient monitoring system and the acquired data is
2. Wireless Biomedical Parameter Monitoring System Using Arm Microcontroller: A Review
International organization of Scientific Research 2 | P a g e
transmitted to a centralized ARM server using Wireless Sensor Networks. A Zigbee node is connected to every
patient monitor system that consumes very low power and is extremely small in size.
This paper builds an independent system that automatically logs vital parameters of patients for easy
access. The data is accessible to doctors through mobile device for convenience. Data of all patients is stored in
a common database. A system to monitor the overall health of welfare facility, which needs constant care, has
been reported. The host computer stores the data, which can be used to analyze the patient‟s overall health
condition.
When the patient is in an emergency situation, such as falling or in an inactive state for more that the
allotted time, the host computer automatically alerts the situation to the care staff by an alarm sound and also
the message has been send to doctor through GSM module. These facts show an increasing demand for long-
term health monitoring which is affordable, continuous, and unobtrusive, which will result in considerable
impact on annual medical costs and health management. Wearable systems for continuous health monitoring
are a key technology in helping the transition to more practical and affordable healthcare. It not only allows the
user to closely monitor changes in her or his aimed to provide emergency assistance to senior citizens,
rehabilitation patients, and medically physiological parameters but also provides feedback to help maintain an
optimal health status [8],. The fundamental problem with this system is that when medical emergencies happen
to the user, they are often unconscious and unable to press an “emergency alert button.” There is no product on
the market which does not require manual activation of the alarm and monitors a user‟s vital signs smartly,
though research is currently undergoing [3]. This is the novel design goal of the work presented in this paper.
The reported device consists of a wrist strap and a finger ring (circuitry). This allows the sensors to be mounted
around the wrist, finger and the ARM unit connected via ribbon cable.
II. LITERATURE SURVEY
Care of critically ill patient, requires spontaneous & accurate decisions so that life-protecting &
lifesaving therapy can be properly applied. Statistics reveal that every minute a human is losing his/her life
across the globe. More close in India, everyday many lives are affected by heart attacks and more importantly
because the patients did not get timely and proper help .This paper is based on monitoring of remote patients,
after he is discharged from hospital. I have designed and developed a reliable, energy efficient remote patient
monitoring system. It is able to send parameters of patient in real time. It enables the doctors to monitor
patient‟s parameters (temp, heartbeat, ECG) in real time. Here the parameters of patient are measured
continuously (temp, heartbeat, ECG) and wirelessly transmitted using Zigbee. In the field of health monitoring
the current most important user groups are those aged 40 and more. The group of 40+ users shows more
diversity in their health conditions than younger people. There are ring-type pulses monitoring sensor available
in the market in which the measured data are displayed in the LCD and cannot be transmitted out of the ring.
Thus, it is not possible to continuously monitor the vital parameters such as temperature, pressure and pulse
from a distant location. In a hospital either the nurse or the doctor has to move physically from one person
to another for health check, which may not be possible to monitor their conditions continuously.
Thus any critical situations cannot be found easily unless the nurse or doctor checks the person‟s health at that
moment. This may be a strain for the doctors who have to take care of a lot number of people in the hospital.
In order to keep in track of critical health conditions, a real time health monitoring system of patient
based on Zigbee, GSM, and SMS is designed and developed in this project. This finds vast application in the
remote places where the people are out of reach from the experienced doctors; keeping this factor in mind best
effort is done to implement some of the basic test of pathological data on the system[3][5].Karandeep Malhi et
al [1] develop Zigbee smart noninvasive wearable physiological parameters monitoring device has been
developed and reported in this paper. The system can be used to monitor physiological parameters, such as
temperature and heart rate, of a human subject. The system consists of an electronic device which is worn on
the wrist and finger, by an at risk person. Using several sensors to measure different vital signs, the person is
wirelessly monitored within his own home. An impact sensor has been used to detect falls. The device detects if
a person is medically distressed and sends an alarm to a receiver unit that is connected to a computer. This sets
off an alarm, allowing help to be provided to the user. Rubina.a.shaikh, et al [2] Design a module to monitoring
of remote patients, after he is discharged from hospital. I have designed and developed a reliable, energy
efficient remote patient monitoring system. It is able to send parameters of patient in real time. It enables the
doctors to monitor patient‟s parameters (temp, heartbeat, ECG) in real time. Here the parameters of patient are
measured continuously (temp, heartbeat, ECG) and wirelessly transmitted using Zigbee. B. sirisha et al [3]
describes a solution for enhancing the reliability, flexibility by improving the performance and power
management of the real-time multi-patient monitoring system (MPMS).
In the current proposed system the patient health is continuously monitored by the MPMS and the
acquired data is transmitted to a centralized ARM server using Wireless Sensor Networks. A Zigbee node is
connected to every patient monitor system which will send the patient's vital information .Upon system boot up,
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the mobile patient monitor system will continuously monitor the patients vital parameters like Heart Beat, body
temperature etc and will periodically send those parameters to a centralized server using Zigbee node
configured as co-coordinator. If a particular patient‟s health parameter falls below the threshold value, a buzzer
alert is triggered by the ARM server. Along with a buzzer an automated SMS is posted to the pre-configured
Doctors mobile number using a standard GSM module interfaced to the ARM server. There are some
shortcomings present in existing system. Currently there are number of health monitoring systems available for
the ICU patients which can be used only when the patient is on bed. This system is wired everywhere. The
patient is monitored in ICU and the data transferred to the PC is wired [3]. Such systems become difficult where
the distance between System and PC is more. The available systems are huge in size. Regula of patient is not
possible once he/she is discharged from hospitals. These systems cannot be used at individual level. The other
problem with these systems is that it is not capable of transmitting data continuously also range limitations of
different wireless technologies used in the systems. So to overcome these limitations of systems I have proposed
a new system. This system is able to transmit the parameters of patient continuously and over long distance
wirelessly [5]. Due to which we would be able attend the patient immediately. Therefore by developing a system
that can constantly measure the important parameters of patient‟s body and which can alert the closed ones and
the doctor on any time when the patient‟s condition gets bad, this can really provide quick service and be
beneficial in saving a lot of lives.
III. EXISTING SYSTEM
There are some shortcomings present in existing system. The patient is monitored in ICU and the data
transferred to the PC is wired. Such systems become difficult where the distance between System and PC is
more. The available systems are huge in size. Regular monitoring of patient is not possible once he/she is
discharged from hospitals. These systems cannot be used at individual level. The other problem with these
systems is that it is not capable of transmitting data continuously also range limitations of different wireless
technologies used in the systems. So to overcome these limitations of systems we proposed a new system. Our
system is able to transmit the parameters of patient continuously and over long distance in wireless medium.
ZigBee is „Wireless Networking Technology‟ and is an established set of specifications for wireless personal
area networking (WPAN), i.e., digital radio connections between computers and related devices. This kind of
network eliminates use of physical data buses like USB and Ethernet cables. We are using ZNet 2.5 (Series 2)
modules. The XBee ZNet 2.5 modules from Digi are more advanced than the popular XBee Series 1modules,
but they require a little additional work to set up. Due to which we would be able attend the patient immediately.
Therefore by developing a system that can constantly measure the important parameters of patient‟s body and
which can alert the closed ones and the doctor on any time when the patient‟s condition gets bad, this can really
provide quick service and be beneficial in saving a lot of lives.
IV. PROPOSED SYSTEM DESCRIPTION
The proposed system is designed for monitor the patient is in any place. The system would constantly
monitor important physical parameters like temperature, heartbeat, ECG, blood sugar, and would compare it
against a predetermined value set and if these values cross a particular limit it would automatically alert the
alarm and doctor via a SMS. This system provides a continuous health monitoring service. The data processed
are transmitted by Zigbee wireless. Finally the received data is sent to the PC. The graphical user interface
programs on the PC are coded using keil C software, Using GSM modem message is transmitted to the doctor
mobile number when the measured temperature exceeds the allowable value or if the pulse measured is
abnormal. GSM is abbreviated as Global System for Mobile Communication10. GSM modem has a slot for
inserting SIM (Subscriber Identity Module). GSM network contains Mobile Station, Base station subsystem and
Network subsystem. Mobile station contains IMEI number and SIM has IMSI number. Base station subsystem
contains Base Transceiver Station which has antennas for communication and Base Station Controller which
controls multiple base stations. Network subsystem contains VLR (Visitor Location Register), HLR (Home
Location Register), AuC (Authentication Center) and EIR (Equipment Identity Register). MSC (Mobile
Switching Center) is the major part which is the gate way for communication between mobile station and PSTN.
HLR stores the information about the subscriber and the current location of subscriber. VLR provides the
services to the subscribers of HLR who are visitor users. AUC gives the security of the user and to identify the
location of the subscriber. EIR is also for security purpose and to identify the mobile station. MAX232 is
connected to GSM modem so that it is useful for serial data transmission. OSS (Operation Support System) is
used to control the traffic of users.
V. HARDWARE DESCRIPTION
It includes various sensors like Temperature sensor, Heart beat sensor, ECG sensor, Blood sugar
sensor, ARM processor, display, buzzer, and Zigbee connector circuit. Wireless sensors nodes with a single
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accessing from one AP (access point) to another have addressed the usefulness of these sensors in sending and
retrieving data. The proposed circuit has the ability to determine the patient's temperature in real-time status
inside the hospital. Heart beat sensor is designed to give digital output of heart beat when a finger is placed
inside the clip. This digital output can be connected to Zigbee and transmitted to ARM directly to measure the
Beats per Minute (BPM) rate. The ECG (Electrocardiogram) records the pathway of electrical impulses through
the heart muscle, and can be recorded on resting and ambulatory subjects, or during exercise to provide
information on the heart‟s response to physical exertion. Zigbee is „Wireless Networking Technology‟ and is an
established set of specifications for wireless personal area networking (WPAN), i.e., digital radio connections
between computers and related devices. This kind of network eliminates use of physical data buses like USB
and Ethernet cables. Zigbee indoors can usually reach 400 m range.
The ARM TDMI-S is a special ARM purpose 32-bit microprocessor, offers high performance and very
low power consumption. ARM architecture is based on RISC principles, instruction set and related decode
mechanism are simpler than CISC Pipeline techniques employed ARM Processor supports both 32-bit and 16-
bit instructions via the ARM and Thumb instruction sets. The 5 parameters to be monitored are sensed using
respective sensor and data is feed to ARM processor.
Care of critically ill patient, requires spontaneous & accurate decisions so that life-protecting & lifesaving
therapy can be properly applied. Statistics reveal that every minute a human is losing his/her life across the
globe. More close in India, everyday many lives are affected by heart attacks and more importantly because the
patients did not get timely and proper help .This paper is based on monitoring of remote patients, after he is
discharged from hospital. It is able to send parameters of patient in real time. It enables the doctors to monitor
patient‟s parameters (temp, heartbeat, ECG) in real time. Here the parameters of patient are measured
continuously (temp, heartbeat, ECG) and wirelessly transmitted using Zigbee. There is a vast growth of VLSI
technology and GSM communication in these days. This project deals about the implementation of GSM
technology in Medical applications. This wireless communications would not only provide them with safe and
accurate monitoring but also the freedom of movement. In this, heart beat and temperature of patient are
measured by using sensors as analog data, later it is converted into digital data using ADC which is suitable for
wireless transmission using paging messages through GSM modem. AT89S52 micro controller device is used
for temporary storage of the data used for transmission
VI. CONCLUSIONS
In this proposed model of monitoring physiological parameters such as temperature, heartbeat, ECG,
blood sugar, are more powerful than currently available system. Currently available systems for monitoring
physiological signals suffer from technical limitations. The proposed system is an enormous improvement over
existing commercial methods, the present system can support up to twenty patients with real-time, low-power,
low-cost, long-distance, and dual-mode monitoring, from the above designed project. The keil C software is
used for implementing the process and results were discussed. In future we can expand this system by using
RFID technology; through this technology we can monitor the multiple numbers of patients. It may be a future
work to develop another patient monitoring application code in that direction.
REFERENCES
[1] Karandeep Malhi, Subhas Chandra Mukhopadhyay, Fellow, IEEE, Julia Schnepper, Mathias Haefke, and
Hartmut Ewald “A Zigbee-Based Wearable Physiological Parameters Monitoring System” IEEE sensors
journal, vol. 12, no. 3, march 2012 online at http://ieeexplore.ieee.org
[2] b. sirisha, t.sraddha, k. vijayanand “Real-time multi-patient monitoring system using arm and wireless
sensor network” International Journal of Communication Network Security, ISSN: 2231 – 1882,
Volume-2, Issue-2, 2013
[3] Reza S. Dilmaghani, Hossein Bobarshad, M Ghavami, Sabrieh Choobkar, and Charles Wolfe “Wireless
Sensor Networks for Monitoring Physiological Signals of Multiple Patients” IEEE transactions on
biomedical circuits and systems, vol. 5, no. 4, august 2011 online at http://ieeexplore.ieee.org.
[4] Yadav Satyendra Satyanarayan, Yadav Raghvendra Satyanarayan, Deep H. Desai “Intelligent Wireless
Emergency Alert System for Patient Monitoring using AT89S52 Microcontroller” International Journal
of Advanced Research in Electrical, Electronics and Instrumentation Engineering Vol. 2, Issue 4, April
2013 online at www.ijareeie.com
[5] shyr-kuen chen, tsair kao, chia-tai chan, chih-ning huang, chih-yen chiang, chin-yu lai, tse-hua tung, and
pi-chung wang ”A reliable transmission protocol for zigbee-based wireless patient monitoring” IEEE
transactions on information technology in biomedicine, vol. 16, no. 1, January 2012 Online at
http://ieeexplore.ieee.org.
[6] Sergio Gonz´alez-Valenzuela, Min Chen, Senior Member, IEEE, and Victor C. M. Leung, Fellow, IEEE
Mobility “Support for Health Monitoring at Home Using Wearable Sensors” IEEE TRANSACTIONS
5. Wireless Biomedical Parameter Monitoring System Using Arm Microcontroller: A Review
International organization of Scientific Research 5 | P a g e
ON INFORMATION TECHNOLOGY IN BIOMEDICINE, VOL. 15, NO. 4, JULY 2011 online at
http://ieeexplore.ieee.org.
[7] X. Wang and H. Qian, “Design and implementation of anycast services in ad hoc networks connected to
IPv6 networks,” J. Netw., vol. 5, pp. 403–410, 2010.
[8] Y.Gu, A. Lo, and I. G. Niemegeers, “A survey of indoor positioning systems for wireless personal
networks,” IEEE Commun. Surv. Tutorials, vol. 11, no. 1, pp. 13–32, First Quarter 2009. online at
http://ieeexplore.ieee.org
[9] Juney M George1, Venugopal G “Design of an embedded platform for patient monitoring applications
using μc/os-ii” International Journal of Advanced Research in Electrical, Electronics and Instrumentation
Engineering Vol. 2, Special Issue 1, December 2013 online at www.ijareeie.com
[10] Nagender Kumar Suryadevara, Student Member, IEEE, and Subhas Chandra Mukhopadhyay, Fellow,
IEEE “Wireless Sensor Network Based Home Monitoring System for Wellness Determination of
Elderly” IEEE SENSORS JOURNAL, VOL. 12, NO. 6, JUNE 2012