Effect of muscle length changes on classification of EMG for prosthesis control Online publication date: Sat, 27-Sep-2014
by Nadipi Reddy Prabhav; Suresh R. Devasahayam
International Journal of Biomedical Engineering and Technology (IJBET), Vol. 13, No. 2, 2013
Abstract: Significant advances in the use of pattern classification-based Electromyography (EMG) control for prosthesis have not resulted in clinical solutions. This paper explores whether muscle length-dependent changes in EMG characteristics play a significant part in this. We show, theoretically and experimentally, that the EMG frequency spectrum is affected by fibre length change. Further, we use this EMG in conjunction with a clustering algorithm to show that this length dependence has a profound effect on the classification of EMG. The clustering is done by extracting the wavelet feature from the EMG and using the k-means clustering algorithm. Various ways of compensating for this muscle length dependence of the EMG are suggested.
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Biomedical Engineering and Technology (IJBET):
Login with your Inderscience username and password:
Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.
If you still need assistance, please email subs@inderscience.com