Classifying EMG signals using T-F representation and SVD [for artificial limb control]

Author

Cai, Liyu ; Wang, Zhizhong ; Zhang, Haihong

Author_Institution

Dept. of Biomed. Eng., Shanghai Jiaotong Univ., China

Volume

1

fYear

1999

fDate

1999

Abstract

A surface EMG signal classification method based on time-frequency representation and singular value decomposition is presented. The short-time Fourier transform and wavelet transform are employed to obtain the signals´ time-frequency representation, from which the singular value decomposition technique is used to extract features for neural network based classification

Keywords

Fourier transforms; artificial limbs; backpropagation; biocontrol; electromyography; feature extraction; medical signal processing; neural nets; signal classification; signal representation; singular value decomposition; time-frequency analysis; wavelet transforms; artificial limb control; backpropagation network; feature extraction; forearm motion signals; neural network based classification; short-time Fourier transform; signal classification method; singular value decomposition; sliding time window; surface EMG; time-frequency representation; wavelet transform; Artificial neural networks; Electromyography; Feature extraction; Fourier transforms; Signal analysis; Signal resolution; Singular value decomposition; Time frequency analysis; Wavelet analysis; Wavelet transforms;

fLanguage

English

Publisher

ieee

Conference_Titel

[Engineering in Medicine and Biology, 1999. 21st Annual Conference and the 1999 Annual Fall Meetring of the Biomedical Engineering Society] BMES/EMBS Conference, 1999. Proceedings of the First Joint

Conference_Location

Atlanta, GA

ISSN

1094-687X

Print_ISBN

0-7803-5674-8

Type

conf

DOI

10.1109/IEMBS.1999.802653

Filename

802653