Muscle tone level classification based on upper-limb impedance model

Many tools have been developed for the assessment of muscle tone of impaired limbs. Despite, having the appropriate knowledge, therapists still face with challenge in the assessment due to the subjective evaluation of muscle tone during training sessions. Moreover, the training h...

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Main Authors:	Zaw, Lay Htoon, Sidek, Shahrul Na'im, Fatai, Sado
Format:	Article
Language:	English
Published:	International Journal of Mechanical Engineering and Robotics Research 2020
Subjects:	T Technology (General)
Online Access:	http://irep.iium.edu.my/76492/ http://irep.iium.edu.my/76492/ http://irep.iium.edu.my/76492/ http://irep.iium.edu.my/76492/1/76492_Muscle%20Tone%20Level%20Classification%20based_article.pdf

id	iium-76492
recordtype	eprints
spelling	iium-764922019-12-30T05:32:46Z http://irep.iium.edu.my/76492/ Muscle tone level classification based on upper-limb impedance model Zaw, Lay Htoon Sidek, Shahrul Na'im Fatai, Sado T Technology (General) Many tools have been developed for the assessment of muscle tone of impaired limbs. Despite, having the appropriate knowledge, therapists still face with challenge in the assessment due to the subjective evaluation of muscle tone during training sessions. Moreover, the training has become more-costly and time consuming since the subjects have to face the therapists over a long period of time. By deploying robot-assisted system, some of these problems could have been addressed but the aspect of proper assessment of subjects’ muscle tone levels still remain. Assessment of subjects’ muscle tones allows proper prescription of task during training session. Recent studies have established links between muscle tone and upper-limb mechanical impedance. However the development of adequate estimation algorithm for subjects’ upper-limb impedance parameters and the prediction of muscle tone level in a more objective manner is still a subject of many research works. This study proposes an appropriate strategy for the estimation of upper-limb mechanical impedance parameters as a mean for the assessment of subjects’ muscle tone levels. Both simulation and experimental results show that the upper-limb impedance parameters can be estimated to a good accuracy level, while the subjects’ muscle tone level can be consistently predicted. International Journal of Mechanical Engineering and Robotics Research 2020-01 Article PeerReviewed application/pdf en http://irep.iium.edu.my/76492/1/76492_Muscle%20Tone%20Level%20Classification%20based_article.pdf Zaw, Lay Htoon and Sidek, Shahrul Na'im and Fatai, Sado (2020) Muscle tone level classification based on upper-limb impedance model. International Journal of Mechanical Engineering and Robotics Research, 9 (1). pp. 122-129. ISSN 2278-0149 http://www.ijmerr.com/uploadfile/2019/1212/20191212045350349.pdf 10.18178/ijmerr.9.1.122-129
repository_type	Digital Repository
institution_category	Local University
institution	International Islamic University Malaysia
building	IIUM Repository
collection	Online Access
language	English
topic	T Technology (General)
spellingShingle	T Technology (General) Zaw, Lay Htoon Sidek, Shahrul Na'im Fatai, Sado Muscle tone level classification based on upper-limb impedance model
description	Many tools have been developed for the assessment of muscle tone of impaired limbs. Despite, having the appropriate knowledge, therapists still face with challenge in the assessment due to the subjective evaluation of muscle tone during training sessions. Moreover, the training has become more-costly and time consuming since the subjects have to face the therapists over a long period of time. By deploying robot-assisted system, some of these problems could have been addressed but the aspect of proper assessment of subjects’ muscle tone levels still remain. Assessment of subjects’ muscle tones allows proper prescription of task during training session. Recent studies have established links between muscle tone and upper-limb mechanical impedance. However the development of adequate estimation algorithm for subjects’ upper-limb impedance parameters and the prediction of muscle tone level in a more objective manner is still a subject of many research works. This study proposes an appropriate strategy for the estimation of upper-limb mechanical impedance parameters as a mean for the assessment of subjects’ muscle tone levels. Both simulation and experimental results show that the upper-limb impedance parameters can be estimated to a good accuracy level, while the subjects’ muscle tone level can be consistently predicted.
format	Article
author	Zaw, Lay Htoon Sidek, Shahrul Na'im Fatai, Sado
author_facet	Zaw, Lay Htoon Sidek, Shahrul Na'im Fatai, Sado
author_sort	Zaw, Lay Htoon
title	Muscle tone level classification based on upper-limb impedance model
title_short	Muscle tone level classification based on upper-limb impedance model
title_full	Muscle tone level classification based on upper-limb impedance model
title_fullStr	Muscle tone level classification based on upper-limb impedance model
title_full_unstemmed	Muscle tone level classification based on upper-limb impedance model
title_sort	muscle tone level classification based on upper-limb impedance model
publisher	International Journal of Mechanical Engineering and Robotics Research
publishDate	2020
url	http://irep.iium.edu.my/76492/ http://irep.iium.edu.my/76492/ http://irep.iium.edu.my/76492/ http://irep.iium.edu.my/76492/1/76492_Muscle%20Tone%20Level%20Classification%20based_article.pdf
first_indexed	2023-09-18T21:48:03Z
last_indexed	2023-09-18T21:48:03Z
_version_	1777413583017082880

Muscle tone level classification based on upper-limb impedance model

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