Health Care Patient Monitoring System Using Raspberry Pi

Authors

  • Trishul Raut  Department of Electronics & Telecommunication Engineering, Priyadarshini College of Engineering, Nagpur, Maharashtra, India
  • Sahil Khelkar  Department of Electronics & Telecommunication Engineering, Priyadarshini College of Engineering, Nagpur, Maharashtra, India
  • Ritik Wagde  Department of Electronics & Telecommunication Engineering, Priyadarshini College of Engineering, Nagpur, Maharashtra, India
  • Yogesh Gondane  Department of Electronics & Telecommunication Engineering, Priyadarshini College of Engineering, Nagpur, Maharashtra, India
  • Prachi Gabhane  Department of Electronics & Telecommunication Engineering, Priyadarshini College of Engineering, Nagpur, Maharashtra, India
  • Prof. M. K. Demde  Department of Electronics & Telecommunication Engineering, Priyadarshini College of Engineering, Nagpur, Maharashtra, India

Keywords:

Internet of Things (IoT), Remote health, System on a chip (SoC), MQTT (Message Queuing Telemetry Transport) protocol

Abstract

Health has become one of the global challenges for humanity. Cardiac diseases, Lung failures and heart related diseases are increasing at a rapid rate. Monitoring health of elderly people at home or patients at hospitals is necessary but it requires constant observation of Practitioners and Doctors. Information Technology (IT) and its growing applications are performing major role in making human life easier. Internet of Things (IoT) is transforming healthcare and the role of IT in healthcare. IoT consists of physical devices, such as sensors and monitoring devices for patients (glucose, blood pressure, heart rate & activity monitoring, etc) to connect to the internet and transforms information from the physical world into the digital world. The proposed system, with the help of IoT’s such features, will help to keep the necessary details and reports of a patient organized and available to all actors in the system. IoT devices like low power sensors will be used to collect data from patients and it will be displayed using LCD and stored on any personal computer and also on the cloud so that any actor in the system can refer to it.

References

  1. Tan, Lu, and Neng Wang. "Future internet: The internet of things." 2010 3rd International Conference on Advanced Computer Theory and Engineering (ICACTE).Vol. 5.IEEE, 2010.
  2. Jorge Gomez, Byron Oviedo, Emilio Zhuma, “Patient Monitoring System Based on Internet of Things ”, The 7th International Conference on
  3. Ambient Systems, Networks and Technologies, 1877-0509 © 2016, Elsevier
  4. K. Natarajan, B. Prasath, P. Kokila, ”Smart Health Care System Using Internet of Things”,Journal of Network Communications and Emerging Technologies (JNCET), 2016, JNCET.
  5. Chetan T. Kasundra, Prof. A. S. Shirsat “Raspberry PI Based Health Monitoring System”, International journal of Advanced Research in Electrical, Electronics and Instrumentation Engineering,10.15662/ijareeie.2015.0408083, IJAREEIE
  6. VikasVippalapalli, SnigdhaAnanthula, “Internet of Things (IoT) based smart health Care System” CENTERIS 2014 - Conference on ENTERprise Information Systems, Elsevier Inc
  7. SapnaTyagi, AmitAgarwal, PiyushMaheshwari “A Conceptual Framework for IoT Based Healthcare System using Cloud Computing”, 978-1-4673-8203-8/16/$31.00_c 2016, IEEE
  8. https://www.raspberrypi.org
  9. https://en.wikipedisa.org/wiki/Raspberry_Pi

Downloads

Published

2021-04-30

Issue

Section

Research Articles

How to Cite

[1]
Trishul Raut, Sahil Khelkar, Ritik Wagde, Yogesh Gondane, Prachi Gabhane, Prof. M. K. Demde "Health Care Patient Monitoring System Using Raspberry Pi" International Journal of Scientific Research in Science, Engineering and Technology (IJSRSET), Print ISSN : 2395-1990, Online ISSN : 2394-4099, Volume 8, Issue 2, pp.434-438, November-December-2021.