Remote health monitoring of elderly through wearable sensors

Mohammed Al-khafajiy*, Thar Baker, Carl Chalmers, Muhammad Asim, Hoshang Kolivand, Muhammad Fahim, Atif Waraich

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

84 Citations (Scopus)
183 Downloads (Pure)

Abstract

Due to a rapidly increasing aging population and its associated challenges in health and social care, Ambient Assistive Living has become the focal point for both researchers and industry alike. The need to manage or even reduce healthcare costs while improving the quality of service is high government agendas. Although, technology has a major role to play in achieving these aspirations, any solution must be designed, implemented and validated using appropriate domain knowledge. In order to overcome these challenges, the remote real-time monitoring of a person’s health can be used to identify relapses in conditions, therefore, enabling early intervention. Thus, the development of a smart healthcare monitoring system, which is capable of observing elderly people remotely, is the focus of the research presented in this paper. The technology outlined in this paper focuses on the ability to track a person’s physiological data to detect specific disorders which can aid in Early Intervention Practices. This is achieved by accurately processing and analysing the acquired sensory data while transmitting the detection of a disorder to an appropriate career. The finding reveals that the proposed system can improve clinical decision supports while facilitating Early Intervention Practices. Our extensive simulation results indicate a superior performance of the proposed system: low latency (96% of the packets are received with less than 1 millisecond) and low packets-lost (only 2.2% of total packets are dropped). Thus, the system runs efficiently and is cost-effective in terms of data acquisition and manipulation.

Original languageEnglish
Pages (from-to)24681-24706
Number of pages26
JournalMultimedia Tools and Applications
Volume78
Issue number17
Early online date24 Jan 2019
DOIs
Publication statusPublished - 15 Sept 2019
Externally publishedYes

Bibliographical note

Publisher Copyright:
© 2019, The Author(s).

Copyright:
Copyright 2020 Elsevier B.V., All rights reserved.

Keywords

  • Ambient assisted living
  • Healthcare
  • Internet of things
  • Real-time monitoring
  • Sensor network
  • Wireless sensor networks

ASJC Scopus subject areas

  • Software
  • Media Technology
  • Hardware and Architecture
  • Computer Networks and Communications

Fingerprint

Dive into the research topics of 'Remote health monitoring of elderly through wearable sensors'. Together they form a unique fingerprint.

Cite this