CFP last date
20 January 2025
Reseach Article

Design Health care system using Raspberry Pi and ESP32

by Qunoot N. Alsahi, Ali F. Marhoon
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 177 - Number 36
Year of Publication: 2020
Authors: Qunoot N. Alsahi, Ali F. Marhoon
10.5120/ijca2020919863

Qunoot N. Alsahi, Ali F. Marhoon . Design Health care system using Raspberry Pi and ESP32. International Journal of Computer Applications. 177, 36 ( Feb 2020), 33-38. DOI=10.5120/ijca2020919863

@article{ 10.5120/ijca2020919863,
author = { Qunoot N. Alsahi, Ali F. Marhoon },
title = { Design Health care system using Raspberry Pi and ESP32 },
journal = { International Journal of Computer Applications },
issue_date = { Feb 2020 },
volume = { 177 },
number = { 36 },
month = { Feb },
year = { 2020 },
issn = { 0975-8887 },
pages = { 33-38 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume177/number36/31142-2020919863/ },
doi = { 10.5120/ijca2020919863 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-07T00:47:56.970342+05:30
%A Qunoot N. Alsahi
%A Ali F. Marhoon
%T Design Health care system using Raspberry Pi and ESP32
%J International Journal of Computer Applications
%@ 0975-8887
%V 177
%N 36
%P 33-38
%D 2020
%I Foundation of Computer Science (FCS), NY, USA
Abstract

The focus of this paper is to implement an intelligent health care system based on internet of thing (IOT) for the measurement of the vital signs like pulse rate, temperature, spo2, ECG, using (ESP32 div kit v1) for wireless wearable sensor controller and raspberry pi 3 as a server. With the system proposed, the doctor can save work time to visit the patients that responsible about them and any facilitates monitoring the huge number of patients. The WI-FI technology is utilized as a communication tool to allow transmission the data remotely. The data of patient are sent to the web server to be stored in the database and view the data on the web page anywhere and anytime using smart devices and alert the doctor to any abnormal state. This work with the intelligent health care system provide an efficient medical service ,by collecting and recording the informant that include heart rate, ECG, temperature and spo2 that enable the doctor to monitor his patient with flexibility and confidence .

References
  1. Al-Fuqaha, Ala, et al. "Internet of things: A survey on enabling technologies, protocols, and applications." IEEE communications surveys & tutorials 17.4 (2015): 2347-2376.‏
  2. Li, Chao, Xiangpei Hu, and Lili Zhang. "The IoT-based heart disease monitoring system for pervasive healthcare service." Procedia computer science 112 (2017): 2328-2334.‏
  3. Lavanya, S., G. Lavanya, and J. Divyabharathi. "Remote prescription and I-Home healthcare based on IoT." 2017 International Conference on Innovations in Green Energy and Healthcare Technologies (IGEHT). IEEE, 2017.‏
  4. Medvediev, Ivan, et al. "IoT solutions for health monitoring: analysis and case study." 2018 IEEE 9th International Conference on Dependable Systems, Services and Technologies (DESSERT). IEEE, 2018.‏
  5. Marhoon, Ali Fadel, and Ali Hussein Hamad. "A new real-time resource-efficient algorithm for ECG denoising, feature extraction and classification-based wearable sensor network." International Journal of Biomedical Engineering and Technology 18.2 (2015): 103-114.‏
  6. Ganesh, G. R. D., et al. "Design of a low cost smart chair for telemedicine and IoT based health monitoring: An open source technology to facilitate better healthcare." 2016 11th International Conference on Industrial and Information Systems (ICIIS). IEEE, 2016.‏
  7. Gupta, Punit, et al. "IoT based smart healthcare kit." 2016 International Conference on Computational Techniques in Information and Communication Technologies (ICCTICT). IEEE, 2016.‏
  8. Pereira, Melisa, and Kamath K. Nagapriya. "A novel IoT based health monitoring system using LPC2129." 2017 2nd IEEE International Conference on Recent Trends in Electronics, Information & Communication Technology (RTEICT). IEEE, 2017.‏
  9. Pardeshi, Vivek, et al. "Health monitoring systems using IoT and Raspberry Pi—a review." 2017 International Conference on Innovative Mechanisms for Industry Applications (ICIMIA). IEEE, 2017.‏
  10. Divakaran, Sindu, et al. "IOT clinic-Internet based patient monitoring and diagnosis system." 2017 IEEE International Conference on Power, Control, Signals and Instrumentation Engineering (ICPCSI). IEEE, 2017.‏
  11. Uddin, Mohammad Salah, Jannat Binta Alam, and Suraiya Banu. "Real time patient monitoring system based on Internet of Things." 2017 4th International Conference on Advances in Electrical Engineering (ICAEE). IEEE, 2017.‏
  12. Stradolini, Francesca, et al. "Live demonstration: An IoT smartwatch-based system for intensive care monitoring." 2017 IEEE Biomedical Circuits and Systems Conference (BioCAS). IEEE, 2017.‏
  13. Zilani, Kazi Abu, et al. "R 3 HMS, An IoT Based Approach for Patient Health Monitoring." 2018 International Conference on Computer, Communication, Chemical, Material and Electronic Engineering (IC4ME2). IEEE, 2018.‏
  14. Yi, Ding, et al. "Design and implementation of mobile health monitoring system based on MQTT protocol." 2016 IEEE Advanced Information Management, Communicates, Electronic and Automation Control Conference (IMCEC). IEEE, 2016.‏
  15. Gardašević, Gordana, et al. "A heterogeneous IoT-based architecture for remote monitoring of physiological and environmental parameters." International Conference on IoT Technologies for HealthCare. Springer, Cham, 2017.‏
  16. Lekić, Milica, and Gordana Gardašević. "IoT sensor integration to Node-RED platform." 2018 17th International Symposium INFOTEH-JAHORINA (INFOTEH). IEEE, 2018.‏
  17. Komkrit Chooruang, K., and P. Mangkalakeeree. "Wireless Heart Rate Monitoring System Using MQTT." Procedia Computer Science 86 (2016): 160-163.‏
Index Terms

Computer Science
Information Sciences

Keywords

Healthcare IOT raspberry pi ESP32 ECG MQTT WSN medical wearable electronic AD8232 patient monitoring Node-Red.