Thumb-tip force prediction based on hill’s muscle model using electromyogram and ultrasound signal

The use of prostheses is necessary to restore lost limbs to a level of functionality to enable activity of daily living. Many prostheses are now using myoelectric based control techniques to operate. However, to develop a model based controller for the system remains a challenge as accurate model is...

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Main Authors:	Sidek, Shahrul Naim, Roslan, Muhammad Rozaidi, Sidek, Sabrilhakim, Mohd Khalid, Mohd Shukry
Format:	Article
Language:	English English
Published:	Atlantis Press 2018
Subjects:	TA349 Mechanics of engineering. Applied mechanics TK7800 Electronics. Computer engineering. Computer hardware. Photoelectronic devices
Online Access:	http://irep.iium.edu.my/65424/ http://irep.iium.edu.my/65424/ http://irep.iium.edu.my/65424/ http://irep.iium.edu.my/65424/1/65424_Thumb-tip%20Force%20Prediction%20Based%20on%20Hill%E2%80%99s_article.pdf http://irep.iium.edu.my/65424/2/65424_Thumb-tip%20Force%20Prediction%20Based%20on%20Hill%E2%80%99s_scopus.pdf

id	iium-65424
recordtype	eprints
spelling	iium-654242018-10-15T08:26:40Z http://irep.iium.edu.my/65424/ Thumb-tip force prediction based on hill’s muscle model using electromyogram and ultrasound signal Sidek, Shahrul Naim Roslan, Muhammad Rozaidi Sidek, Sabrilhakim Mohd Khalid, Mohd Shukry TA349 Mechanics of engineering. Applied mechanics TK7800 Electronics. Computer engineering. Computer hardware. Photoelectronic devices The use of prostheses is necessary to restore lost limbs to a level of functionality to enable activity of daily living. Many prostheses are now using myoelectric based control techniques to operate. However, to develop a model based controller for the system remains a challenge as accurate model is necessary. This study investigates the use of electromyogram and ultrasound signal to predict thumb tip force based on Hill’s Muscle model. The results obtained has shown a significant improvement in the prediction of thumb tip force as much as 31.45% of average RMSE over the benchmark model that leverages on biomechanics model and active marker to characterize the muscle. Atlantis Press 2018 Article PeerReviewed application/pdf en http://irep.iium.edu.my/65424/1/65424_Thumb-tip%20Force%20Prediction%20Based%20on%20Hill%E2%80%99s_article.pdf application/pdf en http://irep.iium.edu.my/65424/2/65424_Thumb-tip%20Force%20Prediction%20Based%20on%20Hill%E2%80%99s_scopus.pdf Sidek, Shahrul Naim and Roslan, Muhammad Rozaidi and Sidek, Sabrilhakim and Mohd Khalid, Mohd Shukry (2018) Thumb-tip force prediction based on hill’s muscle model using electromyogram and ultrasound signal. International Journal of Computational Intelligence Systems, 11 (1). pp. 238-247. ISSN 1875-6891 E-ISSN 1875-6883 https://www.atlantis-press.com/journals/ijcis/25886496 10.2991/ijcis.11.1.18
repository_type	Digital Repository
institution_category	Local University
institution	International Islamic University Malaysia
building	IIUM Repository
collection	Online Access
language	English English
topic	TA349 Mechanics of engineering. Applied mechanics TK7800 Electronics. Computer engineering. Computer hardware. Photoelectronic devices
spellingShingle	TA349 Mechanics of engineering. Applied mechanics TK7800 Electronics. Computer engineering. Computer hardware. Photoelectronic devices Sidek, Shahrul Naim Roslan, Muhammad Rozaidi Sidek, Sabrilhakim Mohd Khalid, Mohd Shukry Thumb-tip force prediction based on hill’s muscle model using electromyogram and ultrasound signal
description	The use of prostheses is necessary to restore lost limbs to a level of functionality to enable activity of daily living. Many prostheses are now using myoelectric based control techniques to operate. However, to develop a model based controller for the system remains a challenge as accurate model is necessary. This study investigates the use of electromyogram and ultrasound signal to predict thumb tip force based on Hill’s Muscle model. The results obtained has shown a significant improvement in the prediction of thumb tip force as much as 31.45% of average RMSE over the benchmark model that leverages on biomechanics model and active marker to characterize the muscle.
format	Article
author	Sidek, Shahrul Naim Roslan, Muhammad Rozaidi Sidek, Sabrilhakim Mohd Khalid, Mohd Shukry
author_facet	Sidek, Shahrul Naim Roslan, Muhammad Rozaidi Sidek, Sabrilhakim Mohd Khalid, Mohd Shukry
author_sort	Sidek, Shahrul Naim
title	Thumb-tip force prediction based on hill’s muscle model using electromyogram and ultrasound signal
title_short	Thumb-tip force prediction based on hill’s muscle model using electromyogram and ultrasound signal
title_full	Thumb-tip force prediction based on hill’s muscle model using electromyogram and ultrasound signal
title_fullStr	Thumb-tip force prediction based on hill’s muscle model using electromyogram and ultrasound signal
title_full_unstemmed	Thumb-tip force prediction based on hill’s muscle model using electromyogram and ultrasound signal
title_sort	thumb-tip force prediction based on hill’s muscle model using electromyogram and ultrasound signal
publisher	Atlantis Press
publishDate	2018
url	http://irep.iium.edu.my/65424/ http://irep.iium.edu.my/65424/ http://irep.iium.edu.my/65424/ http://irep.iium.edu.my/65424/1/65424_Thumb-tip%20Force%20Prediction%20Based%20on%20Hill%E2%80%99s_article.pdf http://irep.iium.edu.my/65424/2/65424_Thumb-tip%20Force%20Prediction%20Based%20on%20Hill%E2%80%99s_scopus.pdf
first_indexed	2023-09-18T21:32:49Z
last_indexed	2023-09-18T21:32:49Z
_version_	1777412624630153216

Thumb-tip force prediction based on hill’s muscle model using electromyogram and ultrasound signal

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