IoT Based Intelligent Medicine Box with Assistance

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IoT Based Intelligent Medicine Box with Assistance
Vikas Anna Mali1
M.Tech in Electronics Engg., Walchand College of Engineering, Sangli
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Abstract
In this paper, the intelligent medicine box has been designed. This medicine box stores the medicines and which alerts and
remind to patients to take the medicines time to time. So that it avoids the health hazards due to negligence of not taking
medicines time to time. Also in this paper different health parameters such as pulse rate, blood pressure and temperature and
ECG of heart are measured. These parameters are sent to firebase IoT. Doctors can monitor health parameters on firebase
website and accordingly decisions can be taken about patient treatment.
Key Words
Firebase IoT, Health monitor, ECG Sensor, Temperature Sensor, Pulse Sensor
Introduction
Now days, global aging and the prevalence of chronic diseases have become a common concern. Many acountries are
undergoing hospital restructuring by reducing the number of hospital beds and increasing the proportion of home healthcare.
A promising trend in healthcare is to move routine medical checks and other healthcare services from hospital (Hospital-
Centric) to the home environment (Home-Centric). By doing so, first, the patients can get seamless healthcare at any time in a
comfortable home environment; second, society’s financial burden could be greatly reduced by remote treatment; third,
limited hospital resources can be released for people in need of emergency care. In-home healthcare and services can
drastically reduce the total expenditure on medical care or treatment. In order to track the physical status of the elderly and,
in the meanwhile, to keep them healthy, the following two daily tasks are essential: 1) real-time monitoring and analyzing vital
signs to early detect or predict life-threatening adverse events; and 2) checking whether they are following their prescribed
treatment, including taking their prescribed medicine on time. Medication adherence is the degree to which a patient correctly
follows the medical advice and Medication non-adherence is referred to negligence and delays in taking your medicines, not
following your prescriptions or even neglecting medication. Medical Non-adherence also refers to altering medications and
taking medications in combinations. Studies show that in developed countries, medical adherence is about 50%. The situation
in developing countries is even worse. The problem of medication non-adherence is critical because of 1) Forgetfulness in the
case of elders, 2) Inability to read and understand the prescription and the names on the medicines, and 3) Lack of resources
and knowledge to utilize the various mobile based medication reminder applications. Medication non-adherence can have
severe negative consequences for the patient. It may lead to adverse outcomes like health related problems, and even
increased duration of treatment with higher cost. The available solutions can be divided into Software based and Hardware
based methods. The device proposed in this project is a hardware based solutions. It is required to be fed in with the
medication pills and their schedule by the doctor, the doctor’s assistant or some literate family member (caretaker). The
device then notifies the medicine to the patient at the required time.
Literature Review
The use of health monitoring systems by skilled clinicians with critical care experience will reduce the hospitalization rate,
save large amounts of money, provide more effective home health management for patients with diabetes, and improve the
health care system in general by reducing the use of inpatient services .Decision-Support System (DSS) frameworks provide
the mechanism with which clinical data from tele health devices is analyzed. This paper will also show the importance of DSS
in tele health management systems for all patients with a chronic disease, not just those with diabetes .Tele health systems are
a practical and cost-effective way of providing care to chronically ill patients by enhancing health care providers ability to
provide quality care in patients‟ homes and delay, or sometimes even eliminate, the need for expensive hospital admissions or
International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056
Volume: 09 Issue: 07 | July 2022 www.irjet.net p-ISSN: 2395-0072

traditional nursing home care. Remote patient monitoring, which tracks and monitors patients, also offers more frequent
contact between the patient and the primary care provider, provides early detection of potential problems, and allows real-
time alerts, resulting in a proactive, affordable option for best-practice health care. Home Tele monitoring for Chronic Disease
Management: An Economic Assessment, analyzed the consumption of health care services by 95 patients with various chronic
5 month without technology. They find out there is a large reduction in number of hospitalizations, length of average hospital
stay and, to a lesser extent, number of emergency room visits. Survey also found that the use of tele monitoring systems will
save more than $1557 per patient as calculated on annualized basis, This represents a net gain of 41% as compared to
traditional home care.
Block Diagram
Block Diagram 1
Block Diagram 2
ATMEGA328
Keyboard/mouse
5v
Supply
Valve control
to open unit
Display
GSM
Raspberry pi
ADC
Pulse
Sensor
ECG Sensor
Temperatu
re Sensor
5V
Firebase

System working
Here two units are available one is GSM timer unit, and second is sensor unit. In GSM timer AVR Arduino board using LCD 4 bit
mode interface.it shows message to take medicines time to time according to medicine name as fixed in time table. LCD 4 bit
mode interface with AVR at mega 328. Relays are used as switch for medicine box to lock and unlock. Relays work as wall
driver. When it is time to take medicine according to time table GSM modem conveys message to patient’s mobile. When this
unit connects to supply then it starts to count time and at setting time this alerts to patient or care taker and it send message to
patient.
Second unit is measuring parameters sensor unit.in this unit measures different parameters of patient. Like temperature,
blood pressure, and ECG of heart. For this unit NTC type thermistor used for measuring human body temperature and pulse
sensor is used for measuring human blood pressure, and ECG sensors are used for measuring ECG of heart.it shows electrical
conditions of heart. After measuring these parameters the outputs of these sensors are given to ADC converter and ADC
converts this data analog to digital form.
ADC ADS1115 is interface with raspberry pi ,it is 4 channel I2C ,ADC with 16 bit resolution.so ADC channel 0 is connected
to ECG sensor module, channel 1 is connected to temperature sensor 100 k NTC type thermistor, channel 2 is connected to
blood pressure ,blood pressure is measure depending on the light absorb by fingertip.
This measured data can be upload on website .doctors can see this data on website on his phone. Doctor can monitor
patients data .for that purpose firebase system used by opening an account on firebase system patient data couples on
raspberry pi .raspberry is pi 3b+ model.16 gb sd card raspbian stretch.os installed firebase libraries included patients data
takes in raspberry pi and upload it on website. Doctors can monitoring this continue..
Result

Conclusion
In this paper we design a medicine box in which patient can measure his different parameters like blood pressure, body
temperature, ECG parameters. These measured parameters are sent to IoT website through firebase website. And by using this
site doctor can monitor patient’s health condition. In this box at fixed time GSM unit send message to patient to take medicine
time to time. And alerts patient to take medicine at that time.
References
[1] Geng Yang, Li Xie, Matti Mäntysalo, Xiaolin Zhou, Zhibo Pang, Li Da Xu, Sharon Kao-Walter, QiaSng Chen, and Li-Rong
Zheng, “A Health-IoT Platform Based on the Integration of Intelligent Packaging, Unobtrusive Bio-Sensor, and Intelligent
Medicine Box”, IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS, VOL. 10, 1551-3203 © 2014 IEEE
[2] Abdelghani Benharref, Mohamed Adel Serhani “Novel Cloud and SOA-Based Framework for E- Health Monitoring Using
Wireless Biosensors”, IEEE Journal Of Biomedical And Health Informatics, VoL. 18, No. 1, January 2014
[3] S. Li, L. Xu, and X. Wang, “A continuous biomedical signal acquisition system based on compressed sensing in body sensor
networks,” IEEE Trans. Ind. Informat., vol. 9, no. 3, pp. 1764–1771, Aug. 2013 P. Castillejo, J.-F. Martinez, J. Rodriguez-
Molina, and A. Cuerva, “Integration of wearable devices in a wireless sensor network for an E-health application,” IEEE
Wireless Commun., vol. 20, no. 4, pp. 38–49, Aug. 2013
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network for an E-health application,” IEEE Wireless Commun., vol. 20, no. 4, pp. 38–49, Aug. 2013
[5] A. J. Jara, M. A. Zamora-Izquierdo, and A. F. Skarmeta, “Interconnection framework for mhealth and remote monitoring
based on the Internet of Things,” IEEE J. Sel. Areas Commun., vol. 31, no. 9, pp. 47–65, Sep. 2013.
[6] Grad. Program in Bioeng., Seoul Nat. Univ.,Seoul, South Korea ;Gih Sung Chung ; Ko Keun Kim ; Kwang Suk Park “A Smart
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[7] S. Tozlu, M. Senel, W. Mao, and A. Keshavarzian, “Wi-Fi enabled sensors for internet of things: A practical approach,” IEEE
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[8] E. Welbourne et al., “Building the Internet of Things using RFID: The RFID ecosystem experience,” IEEE Internet Comput.,
vol. 13, no. 3, pp. 48–55, Jun. 2009.

IoT Based Intelligent Medicine Box with Assistance

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