A Review on challenges in telerehabilitation and human activity recognition approaches during Covid-19 pandemic

Impact of COVID-19 pandemic is widespread imposing limitations on the healthcare services all over the world. Due to this pandemic, governments around the world have imposed restrictions that limit individual freedom and have enforced social distance to prevent the collapse of national health care s...

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Main Authors: Kok, Beng Gan, Md. Mahmudur Rahman, Noor Azah Aziz
Format: Article
Language:English
Published: Penerbit Universiti Kebangsaan Malaysia 2023
Online Access:http://journalarticle.ukm.my/22177/
http://journalarticle.ukm.my/22177/1/kjt_5.pdf
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author Kok, Beng Gan
Md. Mahmudur Rahman,
Noor Azah Aziz,
author_facet Kok, Beng Gan
Md. Mahmudur Rahman,
Noor Azah Aziz,
author_sort Kok, Beng Gan
building UKM Institutional Repository
collection Online Access
description Impact of COVID-19 pandemic is widespread imposing limitations on the healthcare services all over the world. Due to this pandemic, governments around the world have imposed restrictions that limit individual freedom and have enforced social distance to prevent the collapse of national health care systems. In such situation, to offer medical care and rehabilitation to the patients, Telerehabilitation (TR) is a promising way of delivering healthcare facilities remotely using telecommunication and internet. Technological advancement has played the vital role to establish this TR technology to remotely assess patient’s physical condition and act accordingly during this pandemic. Likewise, Human Activity Recognition (HAR) is a key part of the recovery process for a wide variety of conditions, such as stroke, arthritis, brain injury, musculoskeletal injuries, Parkinson’s disease, and others. Different approaches of human activity recognition can be utilized to monitor the health and activity levels of such a patient effectively and TR allows to do this remotely. Therefore, in situations where conventional care is inadequate, combination of telerehabilitation and HAR approaches can be an effective means of providing treatment and these opportunities have become patently apparent during the COVID-19 outbreak. However, this new era of technical progress has significant limitations, and in this paper, our main focus is on the challenges of telerehabilitation and the various human activity recognition approaches. This study will help researchers identify a good activity detection platform for a TR system during and after COVID-19, considering TR and HAR challenges.
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spelling oai:generic.eprints.org:221772023-09-13T04:55:28Z http://journalarticle.ukm.my/22177/ A Review on challenges in telerehabilitation and human activity recognition approaches during Covid-19 pandemic Kok, Beng Gan Md. Mahmudur Rahman, Noor Azah Aziz, Impact of COVID-19 pandemic is widespread imposing limitations on the healthcare services all over the world. Due to this pandemic, governments around the world have imposed restrictions that limit individual freedom and have enforced social distance to prevent the collapse of national health care systems. In such situation, to offer medical care and rehabilitation to the patients, Telerehabilitation (TR) is a promising way of delivering healthcare facilities remotely using telecommunication and internet. Technological advancement has played the vital role to establish this TR technology to remotely assess patient’s physical condition and act accordingly during this pandemic. Likewise, Human Activity Recognition (HAR) is a key part of the recovery process for a wide variety of conditions, such as stroke, arthritis, brain injury, musculoskeletal injuries, Parkinson’s disease, and others. Different approaches of human activity recognition can be utilized to monitor the health and activity levels of such a patient effectively and TR allows to do this remotely. Therefore, in situations where conventional care is inadequate, combination of telerehabilitation and HAR approaches can be an effective means of providing treatment and these opportunities have become patently apparent during the COVID-19 outbreak. However, this new era of technical progress has significant limitations, and in this paper, our main focus is on the challenges of telerehabilitation and the various human activity recognition approaches. This study will help researchers identify a good activity detection platform for a TR system during and after COVID-19, considering TR and HAR challenges. Penerbit Universiti Kebangsaan Malaysia 2023 Article PeerReviewed application/pdf en http://journalarticle.ukm.my/22177/1/kjt_5.pdf Kok, Beng Gan and Md. Mahmudur Rahman, and Noor Azah Aziz, (2023) A Review on challenges in telerehabilitation and human activity recognition approaches during Covid-19 pandemic. Jurnal Kejuruteraan, 35 (3). pp. 577-586. ISSN 0128-0198 https://www.ukm.my/jkukm/volume-3502-2023/
spellingShingle Kok, Beng Gan
Md. Mahmudur Rahman,
Noor Azah Aziz,
A Review on challenges in telerehabilitation and human activity recognition approaches during Covid-19 pandemic
title A Review on challenges in telerehabilitation and human activity recognition approaches during Covid-19 pandemic
title_full A Review on challenges in telerehabilitation and human activity recognition approaches during Covid-19 pandemic
title_fullStr A Review on challenges in telerehabilitation and human activity recognition approaches during Covid-19 pandemic
title_full_unstemmed A Review on challenges in telerehabilitation and human activity recognition approaches during Covid-19 pandemic
title_short A Review on challenges in telerehabilitation and human activity recognition approaches during Covid-19 pandemic
title_sort review on challenges in telerehabilitation and human activity recognition approaches during covid-19 pandemic
url http://journalarticle.ukm.my/22177/
http://journalarticle.ukm.my/22177/
http://journalarticle.ukm.my/22177/1/kjt_5.pdf