Intelligent IoT framework for indoor healthcare monitoring of Parkinson’s disease patients

Raza, M., Awais, M., Singh, N., Imran, M. and Hussain, S. (2021) Intelligent IoT framework for indoor healthcare monitoring of Parkinson’s disease patients. IEEE Journal on Selected Areas in Communications, 39(2), pp. 593-602. (doi: 10.1109/JSAC.2020.3021571)

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Abstract

Parkinson’s disease is associated with high treatment costs, primarily attributed to the needs of hospitalization and frequent care services. A study reveals annual per-person healthcare costs for Parkinson’s patients to be 21,482,withanadditional29,695 burden to society. Due to the high stakes and rapidly rising Parkinson’s patients’ count, it is imperative to introduce intelligent monitoring and analysis systems. In this paper, an Internet of Things (IoT) based framework is proposed to enable remote monitoring, administration, and analysis of patient’s conditions in a typical indoor environment. The proposed infrastructure offers both static and dynamic routing, along with delay analysis and priority enabled communications. The scheme also introduces machine learning techniques to detect the progression of Parkinson’s over six months using auditory inputs. The proposed IoT infrastructure and machine learning algorithm are thoroughly evaluated and a detailed analysis is performed. The results show that the proposed scheme offers efficient communication scheduling, facilitating a high number of users with low latency. The proposed machine learning scheme also outperforms state-of-the-art techniques in accurately predicting the Parkinson’s progression.

Item Type:Articles
Status:Published
Refereed:Yes
Glasgow Author(s) Enlighten ID:Hussain, Dr Sajjad
Authors: Raza, M., Awais, M., Singh, N., Imran, M., and Hussain, S.
College/School:College of Science and Engineering > School of Engineering > Systems Power and Energy
Journal Name:IEEE Journal on Selected Areas in Communications
Publisher:IEEE
ISSN:0733-8716
ISSN (Online):1558-0008
Published Online:03 September 2020
Copyright Holders:Copyright © 2020 IEEE
First Published:First published in IEEE Journal on Selected Areas in Communications 39(2): 593-602
Publisher Policy:Reproduced in accordance with the publisher copyright policy

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