An isometric muscle force estimation framework based on a high-density surface EMG array and an NMF algorithm

Journal of Neural Engineering
Chengjun HuangXu Zhang

Abstract

To realize accurate muscle force estimation, a novel framework is proposed in this paper which can extract the input of the prediction model from the appropriate activation area of the skeletal muscle. Surface electromyographic (sEMG) signals from the biceps brachii muscle during isometric elbow flexion were collected with a high-density (HD) electrode grid (128 channels) and the external force at three contraction levels was measured at the wrist synchronously. The sEMG envelope matrix was factorized into a matrix of basis vectors with each column representing an activation pattern and a matrix of time-varying coefficients by a nonnegative matrix factorization (NMF) algorithm. The activation pattern with the highest activation intensity, which was defined as the sum of the absolute values of the time-varying coefficient curve, was considered as the major activation pattern, and its channels with high weighting factors were selected to extract the input activation signal of a force estimation model based on the polynomial fitting technique. Compared with conventional methods using the whole channels of the grid, the proposed method could significantly improve the quality of force estimation and reduce the electrode number. The ...Continue Reading

References

Jan 1, 1996·European Journal of Applied Physiology and Occupational Physiology·J R PotvinS M McGill
Oct 21, 1998·Journal of Electromyography and Kinesiology : Official Journal of the International Society of Electrophysiological Kinesiology·L C Brereton, S M McGill
Jan 24, 2002·Journal of Electromyography and Kinesiology : Official Journal of the International Society of Electrophysiological Kinesiology·E A ClancyR Merletti
Jan 12, 2005·Journal of Electromyography and Kinesiology : Official Journal of the International Society of Electrophysiological Kinesiology·Didier StaudenmannJaap H van Dieën
Apr 11, 2006·IEEE Transactions on Bio-medical Engineering·Didier StaudenmannJaap H van Dieën
Apr 5, 2007·IEEE Transactions on Bio-medical Engineering·Farid MobasserKeyvan Hashtrudi-Zaad
Apr 5, 2007·IEEE Transactions on Bio-medical Engineering·Didier StaudenmannJaap H van Dieën
Nov 17, 2007·Acta Physiologica·A HoltermannK Roeleveld
Feb 29, 2008·IEEE Transactions on Neural Systems and Rehabilitation Engineering : a Publication of the IEEE Engineering in Medicine and Biology Society·He HuangTodd A Kuiken
Feb 29, 2008·Current Opinion in Neurobiology·Lena H Ting, J Lucas McKay
Jun 17, 2008·Journal of Electromyography and Kinesiology : Official Journal of the International Society of Electrophysiological Kinesiology·D StaudenmannJ H van Dieën
Nov 19, 2008·Biological cybernetics·Claudio Castellini, Patrick van der Smagt
May 14, 2009·Journal of Neural Engineering·A B Ajiboye, R F Weir
Sep 18, 2009·Journal of Electromyography and Kinesiology : Official Journal of the International Society of Electrophysiological Kinesiology·Didier StaudenmannJaap H van Dieën
Feb 15, 2011·Biomechanics and Modeling in Mechanobiology·Miguel ChristophyOliver M O'Reilly
Nov 8, 2011·Journal of Neural Engineering·F NadimA Bose
Jan 25, 2012·Journal of Electromyography and Kinesiology : Official Journal of the International Society of Electrophysiological Kinesiology·Heather DaleyUsha Kuruganti
Jan 31, 2012·Journal of Electromyography and Kinesiology : Official Journal of the International Society of Electrophysiological Kinesiology·Javad HashemiKeyvan Hashtrudi-Zaad
May 17, 2012·IEEE Transactions on Bio-medical Engineering·T LenziM C Carrozza
Aug 22, 2012·Proceedings of the National Academy of Sciences of the United States of America·Vincent C K CheungEmilio Bizzi
Dec 12, 2012·Journal of Neuroengineering and Rehabilitation·Monica Rojas-MartínezJoan F Alonso
Apr 16, 2013·Journal of Electromyography and Kinesiology : Official Journal of the International Society of Electrophysiological Kinesiology·Didier StaudenmannJaap H van Dieën
Apr 30, 2013·Frontiers in Computational Neuroscience·Cristiano AlessandroBastien Berret
Oct 18, 2013·IEEE Transactions on Neural Systems and Rehabilitation Engineering : a Publication of the IEEE Engineering in Medicine and Biology Society·Silvia MuceliDario Farina
Nov 16, 2013·IEEE Journal of Biomedical and Health Informatics·Zhijun LiWeidong Zhang
Jan 28, 2014·Computer Methods in Biomechanics and Biomedical Engineering·Hua CaoCatherine Marque
Mar 3, 2015·Clinical Anatomy : Official Journal of the American Association of Clinical Anatomists & the British Association of Clinical Anatomists·Rachel N Pauls
Jun 11, 2015·Journal of Neural Engineering·Lu TangXiang Chen

❮ Previous
Next ❯

Related Concepts

Related Feeds

Brain-Computer Interface

A brain-computer interface, also known as a brain-machine interface, is a bi-directional communication pathway between an external device and a wired brain. Here is the latest research on this topic.

Related Papers

Journal of Electromyography and Kinesiology : Official Journal of the International Society of Electrophysiological Kinesiology
Didier StaudenmannJaap H van Dieën
Journal of Electromyography and Kinesiology : Official Journal of the International Society of Electrophysiological Kinesiology
Javad HashemiKeyvan Hashtrudi-Zaad
© 2022 Meta ULC. All rights reserved