Smart-Monitor: Patient Monitoring System for IoT-Based Healthcare System Using Deep Learning

Abstract

Automated physiological signal monitoring to elderly sick patient is not only for fast access of data but also to get reliable service by accurate prediction by healthcare service provider. To address this challenge, this research focuses on novel Internet of Things (IoT) application-based physiological signal monitoring system to advance e-healthcare system. For the realization of the proposed system, Deep Neural Network-based accurate Signal Prediction and estimation algorithm was employed. The proposed system is prototyped as an advanced electronics component by using an intelligent sensor for signal measurement, National Instrument myRIO for smart data acquisition. Smart-Monitor is designed with intelligent sensor as the consumer product. To validate the proposed Smart-Monitor system, four physiological signal prediction accuracies for two users were computed. In prototype experimental set-up, an average accuracy of 97.2% was obtained. This shows that the proposed automated system is reliable and accurate monitoring is possible. From the experimental result, we validate the proposed system can provide reliable assist and accurate signal prediction.

KEYWORDS:

• Internet of Things
• Deep learning algorithm
• Elderly care
• Smart healthcare
• Patient monitoring

ACKNOWLEDGMENTS

The authors would like to thank the Indian Academy of Science, New Delhi for providing research fellowship and Mepco Schlenk Engineering College, Sivakasi, India for providing the necessary facilities to carry out their research work.

Additional information

Funding

This work was supported by Indian National Science Academy, New Delhi.

Notes on contributors

Pandia Rajan Jeyaraj

J Pandia Rajan received his BE degree in 2009 and MTech degree in 2011 with first class distinction. He is currently working as an assistant professor (Senior Grade) in the Department of Electrical and Electronics Engineering of Mepco Schlenk Engineering College (Autonomous), Sivakasi, India. He has authored over seven research papers in the reputed International Journals. He has received fellowship by Science Academies at Department of Electrical Engineering in Indian Institute of Technology, Delhi. His research area includes wireless sensor network, deep learning algorithm applications, internet of things, image processing. He is a life member of Indian Society for Technical Education (ISTE). Corresponding author. Email: [email protected]

Edward Rajan Samuel Nadar

S Edward Rajan is working as a senior professor in the Department of Electrical and Electronics Engineering of Mepco Schlenk Engineering College (Autonomous), Sivakasi, India. He is recognized as an approved research supervisor for guiding PhD by Anna University, Chennai. Presently, under his supervision, six scholars are pursuing their PhD and seven scholars have awarded their PhD under Anna University, Chennai. He has published 41 research papers in the reputed international Journals. His main research interests include modelling & simulation of instrumentation systems, medical image processing and bio-medical instrumentation. He is a Life Member in Indian Society for Technical Education, Member in The Institution of Engineers (India), IAENG International Association of Engineers Hong Kong and also a Fellow Member of The Institute of Research Engineers and Doctors (IRED), New York, USA. Email: [email protected]