Estimating forces at multiple degrees of freedom from surface EMG using non-negative matrix factorization for myoelectric control

Author

Jiang, Ning ; Englehart, Kevin ; Parker, Philip

Author_Institution

Dept. of Electr. & Comput. Eng., Univ. of New Brunswick, Fredericton, NB

fYear

2008

fDate

25-28 Oct. 2008

Firstpage

1

Lastpage

5

Abstract

A novel signal processing approach for surface electromyogram (EMG) is proposed to estimate the forces produced at multiple degree of freedom (DOF) simultaneously during dynamic voluntary contractions. The method is based on a generative model of surface EMG, and the estimation algorithm is a modified non-negative matrix factorization (NFM). The proposed method has potential to provide simultaneous and proportional control information for multi-function powered prosthesis.

Keywords

electromyography; estimation theory; matrix decomposition; medical signal processing; prosthetics; dynamic voluntary contractions; estimation algorithm; multifunction powered prosthesis; multiple degree of freedom; myoelectric control; nonnegative matrix factorization; signal processing; surface electromyogram; Biomedical engineering; Biomedical signal processing; Electromyography; Force control; Muscles; Niobium; Proportional control; Prosthetics; Signal processing algorithms; Spinal cord;

fLanguage

English

Publisher

ieee

Conference_Titel

Applied Sciences on Biomedical and Communication Technologies, 2008. ISABEL '08. First International Symposium on

Conference_Location

Aalborg

Print_ISBN

978-1-4244-2647-8

Electronic_ISBN

978-1-4244-2648-5

Type

conf

DOI

10.1109/ISABEL.2008.4712582

Filename

4712582