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

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

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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:	3028/65424
Uncontrolled Keywords:	Thumb-tip; Force prediction; Hill’s muscle model; Electromyogram; Ultrasound signal
Subjects:	T Technology > TA Engineering (General). Civil engineering (General) > TA349 Mechanics of engineering. Applied mechanics T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK7800 Electronics. Computer engineering. Computer hardware. Photoelectronic devices
Kulliyyahs/Centres/Divisions/Institutes (Can select more than one option. Press CONTROL button):	Kulliyyah of Engineering Kulliyyah of Engineering > Department of Manufacturing and Materials Engineering
Depositing User:	Dr. Shahrul Naim Sidek
Date Deposited:	06 Aug 2018 12:11
Last Modified:	15 Oct 2018 16:26
URI:	http://irep.iium.edu.my/id/eprint/65424

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