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Title: WBAN-based remote monitoring system utilising machine learning for healthcare services

Authors: Sonali Vyas; Sunil Gupta

Addresses: School of Computer Science, UPES Dehradun, Uttarakhand, 248007, India ' School of Computer Science, UPES Dehradun, Uttarakhand, 248007, India

Abstract: The field of wireless sensor networks has grown significantly due to notable research contributions in the domain of wireless networks and semiconductors. It has been noted in the recent past that WBANs significantly support a range of pervasive medical and healthcare applications. A wireless body area network (WBAN) is a task-oriented, self-organising sensor network and is an interconnection of a multitude of biomarker sensors and medical diagnostic gadgets. These backbone nodes may be embedded in the human body or planted on the human body. In this paper, we proposed a secured WBAN-based system for healthcare facilities. This model will help patients and medical professionals monitor the health of patients at any time despite their physical presence. It also discusses the utilisation of a machine learning based cloud system which keeps learning from new data sets and remains updated about new symptoms.

Keywords: wearable wireless body area network; healthcare; machine learning; cloud database; wearable devices; EHR; electronic health record; telemedicine.

DOI: 10.1504/IJSSE.2023.129054

International Journal of System of Systems Engineering, 2023 Vol.13 No.1, pp.100 - 108

Received: 31 May 2022
Accepted: 19 Jul 2022

Published online: 16 Feb 2023 *

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