Open Access

ARTICLE

IOT Assisted Biomedical Monitoring Sensors for Healthcare in Human

by S. Periyanayagi¹, V. Nandini^2,*, K. Basarikodi³, V. Sumathy⁴

1 Department of ECE, Ramco Institute of Technology, Rajapalayam, 626117, India
2 Department of CSE, Sona College of Technology, Salem, 636005, India
3 Department of Mathematics, Ramco Institute of Technology, Rajapalayam, India
4 Government College of Engineering, Dharmapuri, India

* Corresponding Author: V. Nandini. Email:

Computer Systems Science and Engineering 2023, 45(3), 2853-2868. https://doi.org/10.32604/csse.2023.030538

Received 28 March 2022; Accepted 30 April 2022; Issue published 21 December 2022

Abstract

The Internet of Things (IoT) is a concept that refers to the deployment of Internet Protocol (IP) address sensors in health care systems to monitor patients’ health. It has the ability to access the Internet and collect data from sensors. Automated decisions are made after evaluating the information of illness people records. Patients’ health and well-being can be monitored through IoT medical devices. It is possible to trace the origins of biological, medical equipment and processes. Human reliability is a major concern in user activity and fitness trackers in day-to-day activities. The fundamental challenge is to measure the efficiency of the human system accurately. Aim to maintain tabs on the well-being of humans; this paper recommends the use of wireless body area networks (WBANs) and artificial neural networks (ANN) to create an IoT-based healthcare framework for hospital information systems (IoT-HF-HIS). Our evaluation system uses a server to estimate how much computing power is needed for modeling, and simulations of the framework have been done using data rate and latency requirements are implementing the energy-aware technology presented in this paper. The proposed framework implements several hospital information system case studies by building a time-saving simulation environment. As the world’s population ages, more and more people suffer from physical and emotional ailments. Using the recommended strategy regularly has been proven user-friendly, reliable, and cost-effective, with an overall performance of 95.2%.

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Keywords

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