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Remote Health Monitoring of Elderly Through Wearable Sensors

Al-Khafajiy, M, Shamsa, TMSB, Chalmers, C, Asim, M, Kolivand, H, Fahim, M and Waraich, A Remote Health Monitoring of Elderly Through Wearable Sensors. Multimedia Tools and Applications. ISSN 1380-7501 (Accepted)

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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.

Item Type: Article
Uncontrolled Keywords: 0803 Computer Software, 0805 Distributed Computing, 0806 Information Systems, 0801 Artificial Intelligence And Image Processing
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Q Science > QA Mathematics > QA76 Computer software
R Medicine > RA Public aspects of medicine > RA0421 Public health. Hygiene. Preventive Medicine
Divisions: Computer Science
Publisher: Springer Verlag
Date Deposited: 07 Jan 2019 10:54
Last Modified: 07 Jan 2019 10:58
DOI or Identification number: 10.1007/s11042-018-7134-7
URI: http://researchonline.ljmu.ac.uk/id/eprint/9879

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