Estimating EMG spectral compression: comparison of four indices

Author

Conte, L. R Lo ; Merletti, R.

Author_Institution

Politecnico di Torino, Italy

Volume

4

fYear

1996

fDate

31 Oct-3 Nov 1996

Firstpage

1472

Abstract

Estimates of the mean or median frequency (MNF and MDF) of the surface EMG power spectral density (PSD) are commonly used to monitor myoelectric manifestations of fatigue. During sustained voluntary contractions such values are affected by estimation errors due to the stochastic nature of the signal and the different properties of the estimators. Two alternative estimators of spectral compression are proposed and compared with the traditional MNF and MDF indicators by means of computer generated signals. Advantages and disadvantages of the four estimators are discussed

Keywords

data compression; electromyography; medical signal processing; spectral analysis; EMG spectral compression estimation; computer generated signals; estimation errors; mean frequency; median frequency; muscle fatigue; myoelectric manifestations monitoring; power spectral density; signal stochastic nature; surface EMG; sustained voluntary contractions; Computerized monitoring; Electromyography; Estimation error; Frequency estimation; Linear regression; Muscles; Signal generators; Spectral shape; Stochastic processes; Testing;

fLanguage

English

Publisher

ieee

Conference_Titel

Engineering in Medicine and Biology Society, 1996. Bridging Disciplines for Biomedicine. Proceedings of the 18th Annual International Conference of the IEEE

Conference_Location

Amsterdam

Print_ISBN

0-7803-3811-1

Type

conf

DOI

10.1109/IEMBS.1996.647510

Filename

647510