Title: Intelligent remote health monitoring system

Authors: Samik Basu; Mahasweta Ghosh; Soma Barman Mandal

Addresses: Institute of Radio Physics and Electronics, University of Calcutta, 92, A.P.C. Road, Kolkata-700009, India ' Institute of Radio Physics and Electronics, University of Calcutta, 92, A.P.C. Road, Kolkata-700009, India ' Institute of Radio Physics and Electronics, University of Calcutta, 92, A.P.C. Road, Kolkata-700009, India

Abstract: With more than 45% of WHO member states failing to achieve the WHO standard of 1:1000 doctor to patient ratio; under current scenario intelligent and remote self-health monitoring becomes too vital for regular health monitoring of people. Rural people have even less doctor to patient ratio than urban people and so cost-effective intelligent vital sign monitoring system becomes even more essential. In our proposed system, we have used sensors to monitor vital health parameters like heart rate, SpO₂ and body temperature and upload this information to the cloud server, using IoT platform, for remote access to the doctors. In case of non-availability of internet services, the proposed system is capable of predicting the cardiac health condition of the person independently by using machine learning algorithm. E-mail and health indicator unit alert the person at the remote-end and system-end respectively in case of emergencies.

Keywords: embedded processing; Raspberry Pi 3B+; health monitoring system; remote access; machine learning; support vector machine; SVM; confusion matrix; IoT; ThingSpeak cloud; green energy.

DOI: 10.1504/IJITCC.2020.112453

International Journal of Information Technology, Communications and Convergence, 2020 Vol.3 No.4, pp.259 - 275

Received: 05 Sep 2019
Accepted: 08 May 2020
Published online: 18 Jan 2021 *