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.
An efficient IoT based biomedical health monitoring and diagnosing system usi...TELKOMNIKA JOURNAL
With the growing and aging population, patient auto monitoring systems are becoming more popular. Smart sensors linked with the internet of things (IoT) make patients' auto monitoring system possible. Nowadays myRIO with LabVIEW is more popular for easy data acquisition, instrument control, and automation. This paper proposed myRIO and IoT based health monitoring and diagnosing system (HMDS) to acquire heartbeat rate, pulse, blood pressure (BP), temperature and activities of the patient using various smart sensors with more accuracy. The acquired raw data from the various sensors had been sent to the myRIO using ESP 8266 Wi-Fi module. The received raw data by the myRIO would be processed to the equivalent medical parameters using LabVIEW and the same might be transferred to the remote monitoring system (RMS) using cloud via a gateway. The abnormalities in the obtained data would be monitored and the diagnosis was made. The experimental setup was developed using various wearable sensors, ESP 8266, myRIO with LabVIEW and cloud with the gateway.
This is a advance technology for the checkup of the patient by the doctor. IN this there is a microcontroller whis encode all the sensor data and display on lcd screen and also send to gsm module by this all the pateint psychological data send to mobile in the form of sms .
Real time health monitoring using gprs technologyRahul Sharma
Advances in sensor technology, personal mobile devices, and wireless broadband communications are enabling the development of an integrated personal mobile health monitoring system that can provide patients with a useful tool to assess their own health and manage their personal health information anytime and anywhere. Personal mobile devices, such as PDAs and mobile phones, are becoming more powerful integrated information management tools and play a major role in many people's lives. Here I focus on designing a Mobile health-monitoring system for people who stay alone at home or suffering from Heart Disease. This system presents a complete unified and mobile platform based connectivity solution for unobtrusive health monitoring. Developing a hardware which will sense heart rate and temperature of a patient, using Bluetooth modem all information lively transmitted to smart phone, from smart phone all information transmitted to server using GPRS. At server the received data compared with the standard threshold minimum and maximum value. The normal range of heart rate is 60 to 135 and the temperature of the patient is said to be normal above 95^F and below 104^F. If at all the rate increases above 145 or decreases below 55,it may be fatal and if it crossed this threshold limit then SMS will be sent to the relative of patient and Doctors along with measured values. The build-in GPS further provides the position information of the monitored person. The remote server not only collects physiological measurements but also tracks the position of the monitored person in real time. For transmitting data from Smartphone to the server using GPRS, here we need to create a website on data will be continuously transmitted from Smartphone to the website and from website data will be downloaded continuously on the server.
There are a number of scopes for IoT in order to make a difference in lives of patients. The devices can capture as well as monitor related data regarding patient and allows the providers to obtain the insights without bringing the patients visiting. The procedure can assist the patient results as well as preventing the possible communications for the process that involves risk. However, lack of electronic health record (EHR) system integration is one of the major issues faced while using IoT in healthcare. Some of the EHR systems allow the patients importing data into the record. However, it remains limited to a few dominant where the EHR players as well as leaves providers unspecific of the processing data that can be helpful for the organization to use the process. The challenges for interoperability in order to keep data in distinctive medical devices depend on the purpose and ordering physician.
Now-a-days, a growing number of people in a developing countries like India forces to look for new solutions for the continuous monitoring of health check-up. It has become a necessity to visit hospitals frequently for doctor’s consultation, which has become financially related and a time consuming process. To overcome this situation, we propose a design to monitor the patient’s health conditions such as heart beat, temperature, ECG and BP and send the message to guardian using GSM. In the recent development of internet of things(IoT) makes all objects interconnected and been recognized as the next technical revolution. Patient monitoring is one of the IoT application to monitor the patient health status. Internet of things makes medical equipments more efficient by allowing real time monitoring of health. Using IoT doctor can continuously monitor the patient’s on his smart phone and also the patient history will be stored on the web server and doctor can access the information whenever needed from anywhere.
best biomedical project center chennai- recent advances in wearable sensors f...ASHOKKUMAR RAMAR
Recent advances in wearable sensors and systems have potential for ubiquitous healthcare monitoring. Ubiquitous healthcare aims to provide access to services anytime and anywhere through wireless body area networks, mobile devices, and cloud services. This allows for remote health data acquisition and personalized healthcare monitoring. The document discusses a system using wireless sensors and smartphones to continuously monitor cardiac patients' ECG data in real-time and alert caregivers if help is needed.
Sensors detect and respond to physical inputs like light, heat, and motion. Wearable devices often include sensors and can monitor health and fitness by tracking vital signs, location, and other data. There is a need for wearable systems as they can diagnose, monitor, and prevent illnesses by collecting physiological data and encouraging behavior changes through increased self-awareness. Examples of wearable devices include smartwatches, fitness trackers, and smart clothing that can monitor biometrics.
IJERA (International journal of Engineering Research and Applications) is International online, ... peer reviewed journal. For more detail or submit your article, please visit www.ijera.com
This document discusses a project to develop a real-time e-health monitoring solution using wireless body area networks (WBANs). It will involve collecting sensor data like acceleration from a patient's smartphone, processing it using a Raspberry Pi to detect events like falls, and transmitting alerts to a doctor's smartphone if needed. The patient and doctor apps, data processing methods, and use of SMS alerts are described. Relevant sensors, standards, and research on e-health and WBANs are also referenced.
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.
Implementation of patient monitoring system using gsm technologyIAEME Publication
This document describes the implementation of a patient monitoring system using GSM technology. It discusses:
- The need for continuous patient monitoring both in hospitals and at home.
- The system design which includes sensors to measure vital signs, a microcontroller to process data and send alerts via GSM.
- The circuit designs for a heart rate sensor and other components to measure and transmit physiological data cost-effectively.
- Testing of the system showing it can accurately monitor and alert doctors to changes in a patient's temperature, heart rate and blood pressure.
Health monitoring system offers a lot of benefits to people life especially for those who have a chronic disease and need daily observation. This health monitoring system will improve quality of life.
We always prefer an unobtrusive continuous health monitoring system in the home for the purpose of assessing early health changes. Identification followed by assessment of the health issues at early stages of health disorder provides a window of opportunity for curing the issues before they become lethal. This presentation discusses various Artificial Intelligence techniques which can be used in this regard.
This document describes an IoT-based health monitoring system created by three group members. The system uses sensors to measure a patient's heartbeat and temperature, which are sent wirelessly to a monitoring center. The monitoring center allows for real-time analysis of the vital sign data and emergency alerts. The system aims to allow doctors to remotely monitor patients at low cost using embedded technology.
Survey on Mobile Based Telemedicine System for Patient Monitoring and Diagnos...IJERA Editor
This document summarizes a research paper on developing a mobile-based telemedicine system for remote patient monitoring and diagnosis in Sikkim, India. The system would use sensors to monitor patients' vital signs like ECG, temperature, blood pressure, etc. at remote hospitals and health centers. It then transmits the data in real-time via cellular networks or stores and forwards it via the internet to a main hospital serving as a remote server unit. There, specialized doctors could monitor patients' health status and diagnose issues. The goal is to provide 24/7 medical care across Sikkim, which faces challenges in remote healthcare access due to its hilly terrain and lack of facilities.
2013 ieee human health monitoring mobile phone application by using the wirel...tilottama_deore
This document describes a mobile phone application for human health monitoring using wireless nanosensors and an embedded system. Nanosensors placed in mobile phones can monitor various health parameters like asthma, cancer, blood pressure and ECG by detecting chemical levels and temperature changes in the human body. The data is transmitted via Zigbee to a hospital management system which can alert patients and send ambulances if levels go outside normal ranges. The system aims to remotely monitor patients at low cost without needing frequent doctor visits.
Gsm based patient monitoring system in nicueSAT Journals
Abstract The project concentrates a selective section of patient monitoring: neonatal care. Several patient monitors are available in the market. Yet it is quite a daunting task in countries with high population like India, because of insufficient resource space availability. It is difficult to keep a track of several patients at a time from both inside and outside hospital premises/medical facility, which includes remote locations. The project involves with sensing the vitals of the newly born babies which are very different when compared to adult patients and transmit these signals to the computer monitor at the nursing station. Also based on the preset threshold values for the recorded values, an alarm system will be introduced with an immediate transfer of the corresponding patient data to the registered medical professional. This paper attempts to design and implement patient monitoring and real time feedback mechanism, equipped with wireless transmission via GSM and Zigbee. Using Zigbee for in-house monitoring and GSM for external correspondence is proposed. The proposed system is likely to be efficient, economical, easy to use, and portable, have wide application potential due to flexibility in the design and software. Keywords: Bio signal Processing, Neonatal, Wireless health monitoring, zigbee, GSM, Wifi, Portable multi parameter health monitor.
IRJET - A Novel Health Monitoring System for Trance PatientsIRJET Journal
This document describes a novel health monitoring system for coma patients. The system monitors several vital health parameters of coma patients such as temperature, heart rate, body movement, eye movement, and blood oxygen saturation using various sensors. If any abnormalities are detected in the patient's readings, the data will be sent via GSM to doctors and relatives. Additionally, the system uses Wi-Fi and an IoT platform called Thingspeak to allow online monitoring of coma patients' conditions via mobile phones. This remote monitoring system reduces the need for continuous clinical staff presence at the patient's bedside.
Measurement of Pulse rate and SPo2 using Pulse Oximeter developed using LabVIEWIOSR Journals
This document describes the development of a pulse oximeter using LabVIEW to measure pulse rate and blood oxygen saturation (SpO2). A photodiode sensor detects light transmitted through the fingertip from red and infrared LED sources. The detected signals are processed through filtering and amplification then acquired using DAQ. Pulse rate is calculated from the time between peaks of the red signal. SpO2 is determined by calculating the ratio of magnitudes between the red and IR waveforms, known as the modulation ratio, which is related to oxygen saturation through empirical data. The developed system measurements agreed well with a commercial pulse oximeter, accurately measuring pulse rate and SpO2.
Implementation Of Real Time IoT Based Health monitoring systemkchakrireddy
This is a project implemented by me and my friends during our final year. It is designed for doctors who are not able to be with the patients all the time. This improves the gap between the patients and the doctors.
Business Model Canvas In Arabic - إبتكار نموذج العمل التجاري Emad Saif
This document provides an overview of the Business Model Canvas tool. It explains that the canvas is used to create and analyze business models by mapping out the key components of a business model across 9 building blocks: Customer Segments, Value Proposition, Channels, Customer Relationships, Revenue Streams, Key Resources, Key Activities, Key Partners, and Cost Structure. Examples are provided to illustrate how the canvas can be used, including a sample business model for a lemonade stand business. The document encourages readers to use the canvas to develop and refine their own business models.
This presentation is based on the top seller book "Business Model Generation" by Alex Osterwalder and Yves Pigneur. This book introduces the Business Model Canvas, the world's leading tool in creating and analyzing business models. This great tool allows you to sketch out your business model visually without starting with a scary business plan.
You can take my online course which covers more content, examples, quizzes, challenges and provides a certificate of completion.
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I hope you find this beneficial and good luck on your business model ;)
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.
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.
Mobile MIM allows physicians to view medical imaging scans from other locations on mobile devices like iPads and iPhones. Images from CT, MRI, and nuclear scans can be compressed and securely transmitted to these mobile devices for viewing, but not traditional X-rays which require higher resolution. The app retrieves images from medical image storage servers and features tools like zooming and adjusting window levels. It provides portable access to diagnostic images equivalent to viewing them on workstation computers.
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.
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.
A Low Power Wearable Physiological Parameter Monitoring Systemijsrd.com
The design and development of a low power wearable physiological parameter monitoring system have been developing and reporting in this paper. The system can be used to monitor physiological parameters, such as ECG signals, temperature and heartbeat. 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 epic sensor has been used to detect ECG signals. The device is battery powered for use outdoors. The device can be easily adapted to monitor athletes and infants. The low cost of the device will help to lower the cost of home monitoring of patients recovering from illness. A prototype of the device has been fabricated and extensively tested with very good results.
Smart Health care Monitoring using Arduino.pptxIdrisFiras
It's presentation about smart health care monitoring by using Arduino and some sensors then we will display results on remoteXY app to monitor vital signs of patient
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.
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.
This document summarizes a remote health monitoring system using wearable body sensors to monitor cardiovascular disease patients. The system consists of three parts: 1) Wearable body sensors that collect physiological data from patients, 2) A personal server (PDA) that prioritizes and transfers data to 3) A medical server connected to the cloud where data can be accessed by medical staff. The system aims to efficiently respond to emergencies by prioritizing vital sign data and notifying medical staff of changes in a patient's heart health.
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.
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.
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.
M health an emerging trend an empirical studycsandit
The advent and advancement in technology specific to medical field has seen a migration of its
work across the globe, adapting higher and newer levels of m-health. Technology has been
successful in transforming the way traditional monitoring and alert system work to a modern
approach wherein minimizing the need for physical monitoring. Today, the field of healthcare
use varied monitoring systems to monitor the health of patients using ubiquitous and nonubiquitous
devices. These are sensor based devices that can read vital signs of patients and send
the data to the required personnel’s using mobile networks. This paper understands and
analyses how the monitoring and alert system works specific to m-health. m-health including
wearable and non-wearable devices read various vital signs and have the ability to monitor
health real-time and transfer the information collected using mobile network. m-health has
become an useful tool for elderly in this fast paced world where almost all the family members
are working or studying to keep track and maintain optimal health status. m-health alert system
involves the patient, the caretaker and medical service provider wherein the patient wears the
device and vital signs recorded are transferred the medical service provider who then analyses
the data collected and required changes in the medication are implemented. This paper
proposes a medical alert system that enlightens the capabilities of m-health making health
monitoring easy and reliable. It contains a three-level severity check and raises an alarm to the
caretaker, the physician or the ambulatory service provider.
This document describes the design of a community family health care monitoring system in Wolkite, Ethiopia using wireless and information communication technologies. The system allows elderly residents to monitor their health at home by transmitting data like temperature, blood pressure, and heart rate from sensors to a community medical center. The system architecture has a patient section where sensors collect health data and transmit it via Zigbee technology to a control room section where the data is stored and can be sent via GSM to medical staff if needed. The system aims to improve efficiency of healthcare for an aging population while reducing costs compared to on-site medical exams.
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.
This document discusses body adapted wearable bi sensors, which are emerging technologies that integrate sensors into wearable devices. It describes the need for wearable biosensors to remotely monitor patients and athletes. It defines a wearable biosensor as a combination of a wearable device and a biosensor. It outlines the typical components of a biosensor, including biological, transducer, and electronic elements. It provides examples of the ring sensor and smart shirt, describing their components, working principles, and applications in healthcare monitoring, combat casualty care, and sports. It concludes that these technologies could significantly impact healthcare delivery by enabling affordable care anywhere.
Non Invasive Health Monitoring with mHealthBart Collet
mHealth Trends and examples of non invasive mobile health devices, organisations and services.
Made as preparation for MoMoAMS #14 about mHealth, Jan 25th 2010, Amsterdam
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.
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How AI is Disrupting Service Industry More Than Design ThinkingBody of Knowledge
Artificial Intelligence (AI) and Design Thinking are two powerful tools that, when used together, can revolutionize the service industry. By combining these approaches, businesses can develop innovative solutions that enhance customer experience, increase efficiency, and drive growth. Here's how AI and Design Thinking are disrupting the service industry
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Grp2
1. Health Monitoring Using Mobile
Phones
Course:- Mobile
Networking
Instructor:- Dr. Helmy
Ahmed
Group 2
Presented By:-
1. Rishabh Krishna
2. Sk Minhazul Islam
3. Bharath Yarlagadda
3. Introduction
The consumers and healthcare service
providers using smart phones are growing
exponentially throughout last decade.
The adoption of this technology is rapid; twothirds of physicians and 42% of the public
used smartphones as of late 2009. [1]
As of February 2010, there were nearly 6,000
such apps within the Apple App Store.
Of these, 73% were intended for use by
consumer or patient end-users, while 27%
were targeted to healthcare professionals.
4. Why Health Monitoring?
Based on World Health Organization’s Statistics
(WHO) and other sources, chronicle diseases and
psychological pressures are behind the death of
80% of elderly people (e.g. in Algeria).
The greater part of elderly suffer from various
chronic diseases.
We plan to elucidate on how recent advancement in
wireless
communication
and
smartphone
technology
have
empowered
tremendous
improvement in health monitoring services.
Provide behavioral feedback about
health in order to prevent diseases.
someone’s
5. Initial Work
Vital signs are the most basic functions that can be
measured from a person.
Provide health monitoring at home, which is
particularly useful for patients, who have to live alone.
Focused on the automatic and unobtrusive
measurement of biomedical signals and activities of
patients.
Ubiquitous health monitoring is an important precursor
for analysis and diagnosis, as it allows biomedical
signals to be measured without the individual’s
awareness.
6. Areas of Exploration…
ECG Signal measurement on bed –
Signal obtained by using a conductive sheet on bed.
ECG signals are measured by a conductive textile
electrode attached to the bed sheet.
Load cells to measure body weights –
Weight losses are very alarming.
May indicate hormonal imbalance.
Reason can be tumors, as they break muscles and
kill appetite.
In load cells, voltage readings can be converted to
weights.
7. Areas of Exploration Contd…..
Respiratory Problems: Snoring –
Health risks of sleep apnea; a respiratory condition in
which the throat narrows or closes during sleep.
Condition can increase the risks of high blood
pressure, coronary heart disease, stroke and
diabetes.
Uses electret microphones; a fusion of electrode and
magnet.
Monitoring day-to-day activities –
Routine exercise on a day to day basis.
Blood sugar levels.
Use of accelerometer and gyro meter.
8. Areas of Exploration Contd…..
Measuring Temperatures of Body –
Difficult as a mobile device has its own temperature.
Generally uses infra-red equipped with peripheral
devices.
Infrared: Go / No Go?
Blood-Oxygen saturation –
Checks the level of oxygen in blood.
Uses the phone’s built-in video camera.
The patient’s fingertip is pressed against the lens of
the camera.
Captures small changes in light reflected by the
pulsing blood in the capillaries.
9. A Wireless Body Area Network of
Intelligent Motion Sensors for Computer
Assisted Physical Rehabilitation [2]
Emil Jovanov, Aleksandar Milenkovic, Chris
Otto and Piet C de Groen
10. Characteristics
Wearable health monitoring systems integrated into
a telemedicine system
Continuous monitoring as a part of a diagnostic
procedure
Support Early Detection of Abnormal Conditions
and Prevention of Its Serious Consequences
Provides Supervised Recovery From an Acute Event
or Surgical Procedure
11.
There are Some Limitations in Existing Topologies
Traditional personal medical monitoring systems
Data were collected via off-line processing
Wires may limit the patient’s activity and level of
comfort
negatively influence the measured results
Nonexistent support for massive data collection and
knowledge discovery
12. Data flow in an WBAN
Sensor level
Personal Server Level
Medical Service Level
13. Sensor Level
ECG(electrocardiogram) sensor for monitoring heart
activity
EMB(electromyography) sensor for monitoring
muscle activity
A blood pressure sensor
A tilt sensor for monitoring trunk position movement
14. Sensor Level Contd…..
A “smart sock” sensor or a sensor equipped shoe
insole to delineate phases of individual steps
Continuously collect and process raw information,
store them locally, and send them to the personal
server
Minimal Weight of the Sensors
Low-power operation to permit prolonged
continuous monitoring Patient-specific calibration,
tuning and customization
15. Personal Server Level
Initialization, configuration and synchronization of
WBAN nodes
Control and monitor operation of WBAN nodes
An audio and graphical user-interface for early
warnings or guidance
16. Personal Server Level Contd…..
Secure communication with remote healthcare
provider servers like
Internet-enabled PDA
3G cell phone
A home personal computer
17. Medical Service Level
An emergency service
If the received data are out of range (from normal)
or indicate an imminent medical condition
The exact location of the patient
If the personal server is equipped with GPS
sensor
Monitoring the activity of the patient
By medical professionals
Issue altered guidance based on the new
information
18. Summary
Continuous monitoring in the ambulatory setting
early detection of abnormal conditions
○ increased level of confidence
○ improve quality of life
supervised rehabilitation
potential knowledge discovery
○ through data mining of all gathered information
19. MobiHealth: Ambulant Patient Monitoring
Over Public Wireless Networks[3]
Dimitri Konstantas, Aart Van Halteren,
Richard Bults, Katarzyna Wac, Val Jones,
Ing Widya and Rainer Herzog
20. Characteristics
Health BAN (Body Area Network) is paired with
advanced wireless communication.
It enables remote management of chronic
conditions and detection of health emergencies and
also maximizes patient mobility
It is a generic Body Area Network (BAN) for
healthcare (more general).
21. Characteristics Contd…..
Measured Bio signals is converted to the Electrical
Signals by sensors connected to the BAN
It gets transmitted to the remote healthcare location
(hospitals or rooms of doctors) over public wireless
networks (GPRS/UMTS)
22. Characteristics Contd…..
Practical Deployment
MobiHealth BAN and service platform have been
tested in four European countries like Sweden
Nederland, Spain and Germany with a variety of
patient groups and thus signifying
its practical appeal to the community
23. Characteristics Contd…..
Apart From Sensors, it supports any body worn
device, hence the system has potentially many
applications in healthcare which allow healthcare
services to delivered in the community
25. MobiHealth System and Services
Contd…..
The healthcare BAN is an innovative health
monitoring tool that consists of sensors, actuators,
communication and processing facilities
Communication between entities within a BAN is
called intra-BAN communication.
26. MobiHealth System and Services
Contd…..
To use the BAN for remote monitoring external
communication is required which is called extraBAN communication. The gateway that facilitates
extra-BAN communication is called the Mobile Base
Unit (MBU)
27. The MobiHealth Trial
The overall goal of the MobiHealth project is to
test the ability of 2.5 and 3G infrastructures to
support value added healthcare services.
There were exhaustive testing of Mobihealth
trials span four European countries like
Sweden, Germany, Nederland and Spain
It covers a range of conditions including
pregnancy, trauma, cardiology, rheumatoid,
arthritis and respiratory insufficiency
28. Trial 1
The target group in this trial was patients with
ventricular arrhythmia who are undergoing drug
therapy.
ECG measurements was taken regularly to monitor
the efficienyof drug therapy.
The patient is able to transmit ECG and blood
pressure via GPRS from home or elsewhere to the
health call center, where the vital signs were
monitored via some cardiologists.
29. Summary
We have avoided the rests of trials for time
constraints.
In this way, it is shown that WBAN (Wireless Body
Area Network) has played a significant part in
Mobile Health which has reduced human effort in a
great way by remotely monitoring human health.
30. ECAALYX
ECAALYX – Enhanced Complete Ambient Assisted
Living Experiment.
ECAALYX is a an android application funded by the
European Union.
ECAALYX was developed to monitor 24/7 the health
and well being of the healthy old people.
This application gathers data periodically, analysis
them and conveys to the caretaker as per need.
The application gathers clinical and non clinical
data like Heart Rate, Temperature, body weight,
glucose levels, GPS location of the person.
31. Contd…
Some of the sensors are built into the device, some fixed
sensors at the persons house and others are wearable.
The sensors mainly used are accelerometers (for fall
detection), GPS, glucose meters, ECG monitors etc.
The mobile device autonomously collects this data and
uploads it to the website of a caretaker where the
decision can be taken the caretaker to call the
emergency services.
This application leverages the GPS to track the location
of the person and alerts the caretaker when ever the
person has wanders out of a predefined range.
The GPS location is also used in a novel way to check if
the data recorded at a particular location is similar to the
previous recorded data for the same place.
32. What Is The Current Face Of Health
Monitoring?
•
Health monitoring is no longer for the physicians or
hospitals.
• It is no longer for people with chronic diseases.
• Monitoring for all ages.
• People showing interest in self diagnosis before
spending on a doctor.
• Cost effective.
• Sophisticated devices.
• Better networking stack.
33. Contd…
Assist in independent living of the people.
Smarter communication with medical personnel.
Large data for agencies to mine upon and research
for patterns and solve complex problems.
Set up med camps in remote areas of the world and
provide diagnosis.
Cheaper add on devices with sensing capabilities.
Building social networks.
Improved mobility of users and better connectivity.
Scope for better and improved Interfaces.
34. Disadvantages of Mobile Health
Monitoring
The apps are not always designed with end users in
mind.
The usage of the smart phones can be over
whelming to older patients.
The apps may be useable to some set of users due
to disabilities (ex: color blindness)
The devices are considered to be present always
with the end user while tracking.
The current applications may not be useful if the
user the user is unconscious.
The apps must be explicitly started by the user for
tracking.
35. Contd…
Most of the applications need private data to help
the users.
The users are skeptical about providing personal
data to third party applications.
The smart phones being used currently have limited
battery life and the apps are of no use if the device
turns off. So there is need for low power consuming
apps.
Most of the applications require a network to convey
the emergency data and the framework is not so
robust in remote areas where the network is not
proper.
36. Addressing Some Issues In Mobile
Health Monitoring
The main issue for the health monitoring systems today
is although they have a great set of functionalities and
provide numerous services they are still over whelming
for an end user because they are not targeted at a
generic audience. Below are some pointers a. The Applications must be developed with by employing
actual patients for testing and steer the direction of the
scope of the application.
b. The Older people have trouble using the application on
smart phones. This can be solved by mimicking the
interface of the the application with a well known
interface for the old people. So extensive design
research should be done.
37. Privacy is one of the major issue in these health
monitoring applications. A protocol should be built
which allows the user to set the level of visibility of his
personal data based on the personnel accessing his data
during cases of emergency.
The need of low power consumption devices is at an all
time high. With the invention of various ad-hoc devices
that gather various data of the human body, they need to
be controlled and maintained by a smart phone and this
causes battery drain.
In remote areas or other disaster areas the ad-hoc
communication is the only way of communication so the
health monitoring applications should leverage this
technology too. Using fall back techniques like wi-fi
direct, bluetooth can be used to transmit the data to the
servers causing the device to try its best to log the data
at the health server.
38. Conclusion
Through this presentation we have given a overview of
the various works done in mobile health and some
differences between them.
There is a high penetration in the health sector with the
advent of new range of smart phones and better
customizable OS.
Mobile health monitoring system is here to stay for the
future.
Mobile health is not just monitoring, it will and should
grow as a user community to help each other and
serve efficiently during emergency situations.
39. References
1. http://www.chcf.org/publications/2010/04/how-smartphones-arechanging-health-care-forconsumers-and-providers.
2. E. Jovanov A. Milenkovic C. Otto P. C. De Groen, “A wireless body area
network of intelligent motion sensors for computer assisted physical
rehabilitation”, Journal of NeuroEngineering and Rehabilitation, 2005, vol.
2.
3. D Konstantas, A Van Halteren, R Bults, K Wac, V Jones, I Widya, R
Herzog, “MOBIHEALTH: AMBULANT PATIENT MONITORING OVER
PUBLIC WIRELESS NETWORKS”, Mediterranean Conference on Medical
and Biological Engineering MEDICON 2004.
4. Maged N Kamel, Boulos Steve Wheeler, Carlos Tavares, Ray Jones, "
How Smartphones are changing the face of mobile and participatory
healthcare: an overview, with example from eCAALYX", BioMedical
Engineering OnLine.