On EMG Signal Compression With Recurrent Patterns

Author

Filho, Eddie B L ; Silva, Eduardo A B da ; De Carvalho, Murilo B.

Author_Institution

Centro de Cienc. Tecnol. e Inovacao do Polo Ind. de Manaus, Manaus

Volume

55

Issue

7

fYear

2008

fDate

7/1/2008 12:00:00 AM

Firstpage

1920

Lastpage

1923

Abstract

In this paper, the multidimensional multiscale parser (MMP) is employed for encoding electromyographic signals. The experiments were carried out with real signals acquired in laboratory and show that the proposed scheme is effective, outperforming even wavelet-based state-of- the-art schemes present in the literature in terms of percent root mean square difference times compression ratio.

Keywords

data compression; electromyography; medical signal processing; EMG signal compression; compression ratio; electromyography; isometric contractions; multidimensional multiscale parser; recurrent patterns; root mean square difference; Data compression; Dictionaries; Electrodes; Electromyography; Encoding; Laboratories; Multidimensional systems; Muscles; Needles; Root mean square; Electromyogram (EMG); data compression; isometric contractions; Action Potentials; Algorithms; Data Compression; Electromyography; Humans; Isometric Contraction; Pattern Recognition, Automated; Reproducibility of Results; Sensitivity and Specificity; Signal Processing, Computer-Assisted;

fLanguage

English

Journal_Title

Biomedical Engineering, IEEE Transactions on

Publisher

ieee

ISSN

0018-9294

Type

jour

DOI

10.1109/TBME.2008.919729

Filename

4545011