Using time-frequency analysis technique in the classification of surface EMG signals

Author

Jang, Gwo-Ching ; Cheng, Cheng-Kung ; Lai, Jin-Shin ; Kuo, Te-Son

Author_Institution

Dept. of Electr. Eng., Nat. Taiwan Univ., Taipei, Taiwan

fYear

1994

fDate

1994

Firstpage

1242

Abstract

A time-frequency analysis technique with Wigner-Ville distribution was developed for discriminating a set of upper limb motions using just one channel surface EMG signals. EMG data were obtained from the distal portion of the deltoid. The limb motions included elbow extension/flexion, wrist pronation/supination, and wrist abduction/adduction. The 2D cross-correlation was employed for classification of the upper limb functions

Keywords

electromyography; 2D cross-correlation; Wigner-Ville distribution; classification; deltoid; distal portion; elbow extension; elbow flexion; one channel surface EMG signals; surface EMG signals; time-frequency analysis technique; upper limb functions; upper limb motions; wrist abduction; wrist adduction; wrist pronation; wrist supination; Biomedical engineering; Elbow; Electromyography; Motion analysis; Muscles; Pattern recognition; Prosthetics; Signal resolution; Time frequency analysis; Wrist;

fLanguage

English

Publisher

ieee

Conference_Titel

Engineering in Medicine and Biology Society, 1994. Engineering Advances: New Opportunities for Biomedical Engineers. Proceedings of the 16th Annual International Conference of the IEEE

Conference_Location

Baltimore, MD

Print_ISBN

0-7803-2050-6

Type

conf

DOI

10.1109/IEMBS.1994.415413

Filename

415413