Thumb-tip force orediction 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...
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iium-598192018-04-20T02:49:46Z http://irep.iium.edu.my/59819/ Thumb-tip force orediction based on hill’s muscle model using electromyogram and ultrasound signal Sidek, Shahrul Na'im Roslan, Muhammad Rozaidi Sidek, Sabrilhakim Mohd Khalid, Mohd Shukry T Technology (General) 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/59819/1/published%20paper.pdf Sidek, Shahrul Na'im and Roslan, Muhammad Rozaidi and Sidek, Sabrilhakim and Mohd Khalid, Mohd Shukry (2018) Thumb-tip force orediction based on hill’s muscle model using electromyogram and ultrasound signal. International Journal of Computational Intelligence Systems, 11 (1). pp. 238-247. ISSN 1875-6883 https://www.atlantis-press.com/journals/ijcis/25886496 |
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International Islamic University Malaysia |
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collection |
Online Access |
language |
English |
topic |
T Technology (General) |
spellingShingle |
T Technology (General) Sidek, Shahrul Na'im Roslan, Muhammad Rozaidi Sidek, Sabrilhakim Mohd Khalid, Mohd Shukry Thumb-tip force orediction 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 Na'im Roslan, Muhammad Rozaidi Sidek, Sabrilhakim Mohd Khalid, Mohd Shukry |
author_facet |
Sidek, Shahrul Na'im Roslan, Muhammad Rozaidi Sidek, Sabrilhakim Mohd Khalid, Mohd Shukry |
author_sort |
Sidek, Shahrul Na'im |
title |
Thumb-tip force orediction based on hill’s muscle model using electromyogram and ultrasound signal |
title_short |
Thumb-tip force orediction based on hill’s muscle model using electromyogram and ultrasound signal |
title_full |
Thumb-tip force orediction based on hill’s muscle model using electromyogram and ultrasound signal |
title_fullStr |
Thumb-tip force orediction based on hill’s muscle model using electromyogram and ultrasound signal |
title_full_unstemmed |
Thumb-tip force orediction based on hill’s muscle model using electromyogram and ultrasound signal |
title_sort |
thumb-tip force orediction based on hill’s muscle model using electromyogram and ultrasound signal |
publisher |
Atlantis Press |
publishDate |
2018 |
url |
http://irep.iium.edu.my/59819/ http://irep.iium.edu.my/59819/ http://irep.iium.edu.my/59819/1/published%20paper.pdf |
first_indexed |
2023-09-18T21:24:47Z |
last_indexed |
2023-09-18T21:24:47Z |
_version_ |
1777412118851616768 |