International Journal of Computational Intelligence Systems

Volume 11, Issue 1, 2018, Pages 238 - 247

Thumb-tip Force Prediction Based on Hill’s Muscle Model using Electromyogram and Ultrasound Signal

Authors
Shahrul Naim Sidek1, snaim@iium.edu.my, Muhammad Rozaidi Roslan1, rozaidiroslan21@gmail.com, Sabrilhakim Sidek2, sabrilhakim@salam.uitm.edu.my, Mohd Shukry Mohd Khalid2, shooke937@yahoo.com
1Mechatronics Engineering Department, Kulliyyah of Engineering, IIUM, Jalan Gombak, Kuala Lumpur 53100, Malaysia
2Medical Imaging Unit, Faculty of Medicine, Universiti Teknologi MARA, Sg. Buloh Campus, Jalan Hospital, Sg. Buloh, Selangor, 47000, Malaysia
Received 26 April 2017, Accepted 28 October 2017, Available Online 1 January 2018.
DOI
https://doi.org/10.2991/ijcis.11.1.18How to use a DOI?
Keywords
Thumb-tip force; electromyography; thumb training system; muscle model
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.

Copyright
© 2018, the Authors. Published by Atlantis Press.
Open Access
This is an open access article under the CC BY-NC license (http://creativecommons.org/licences/by-nc/4.0/).

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Journal
International Journal of Computational Intelligence Systems
Volume-Issue
11 - 1
Pages
238 - 247
Publication Date
2018/01/01
ISSN (Online)
1875-6883
ISSN (Print)
1875-6891
DOI
https://doi.org/10.2991/ijcis.11.1.18How to use a DOI?
Copyright
© 2018, the Authors. Published by Atlantis Press.
Open Access
This is an open access article under the CC BY-NC license (http://creativecommons.org/licences/by-nc/4.0/).

Cite this article

TY  - JOUR
AU  - Shahrul Naim Sidek
AU  - Muhammad Rozaidi Roslan
AU  - Sabrilhakim Sidek
AU  - Mohd Shukry Mohd Khalid
PY  - 2018
DA  - 2018/01/01
TI  - Thumb-tip Force Prediction Based on Hill’s Muscle Model using Electromyogram and Ultrasound Signal
JO  - International Journal of Computational Intelligence Systems
SP  - 238
EP  - 247
VL  - 11
IS  - 1
SN  - 1875-6883
UR  - https://doi.org/10.2991/ijcis.11.1.18
DO  - https://doi.org/10.2991/ijcis.11.1.18
ID  - Sidek2018
ER  -