Edge Devices for Internet of Medical Things: Technologies, Techniques, and Implementation

Author:

Ben Dhaou ImedORCID,Ebrahimi Mousameh,Ben Ammar MeriamORCID,Bouattour Ghada,Kanoun OlfaORCID

Abstract

The health sector is currently experiencing a significant paradigm shift. The growing number of elderly people in several countries along with the need to reduce the healthcare cost result in a big need for intelligent devices that can monitor and diagnose the well-being of individuals in their daily life and provide necessary alarms. In this context, wearable computing technologies are gaining importance as edge devices for the Internet of Medical Things. Their enabling technologies are mainly related to biological sensors, computation in low-power processors, and communication technologies. Recently, energy harvesting techniques and circuits have been proposed to extend the operating time of wearable devices and to improve usability aspects. This survey paper aims at providing an overview of technologies, techniques, and algorithms for wearable devices in the context of the Internet of Medical Things. It also surveys the various transformation techniques used to implement those algorithms using fog computing and IoT devices.

Publisher

MDPI AG

Subject

Electrical and Electronic Engineering,Computer Networks and Communications,Hardware and Architecture,Signal Processing,Control and Systems Engineering

Reference99 articles.

1. WHO Facts on Diabeteshttps://www.who.int/health-topics/diabetes#tab=tab_1

2. Human activity recognition and monitoring for elderly people

3. Intelligent Autonomous Elderly Patient Home Monitoring System

4. Characterising Sudden Death and Dead-in-Bed Syndrome in Type 1 Diabetes: Analysis from 2 Childhood-Onset Type 1 Diabetes Registries;Secrest;Diabet. Med.,2017

5. IoT-based continuous glucose monitoring system: A feasibility study

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