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

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

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Abstract

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

Item Type:	Article (Journal)
Additional Information:	3028/59819
Uncontrolled Keywords:	Thumb-tip force; electromyography; thumb training system; muscle model
Subjects:	T Technology > T Technology (General)
Kulliyyahs/Centres/Divisions/Institutes (Can select more than one option. Press CONTROL button):	Kulliyyah of Engineering > Department of Mechatronics Engineering
Depositing User:	Dr. Shahrul Naim Sidek
Date Deposited:	06 Dec 2017 16:23
Last Modified:	20 Apr 2018 10:49
URI:	http://irep.iium.edu.my/id/eprint/59819

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