Surface EMG simulation for assessment of conduction velocity estimation methods

Author

Duchêne, Jacques ; Hogrel, Jean-Yves

Author_Institution

Lab. de Modelisation et Surete des Syst., Troyes, France

Volume

5

fYear

1996

fDate

31 Oct-3 Nov 1996

Firstpage

2283

Abstract

The present work proposes a simple model to simulate electromyographic signal. This model has been developed in order to accurately evaluate the relevance of various processing methods involved in muscular action potential conduction velocity estimation. It takes into account experimental, physiological and morphological parameters. Each motor unit is mainly characterized by its recruitment frequency and conduction velocity. All parameters are described by statistical distributions with adjustable mean and standard deviation. This simulation model is an efficient tool to assess the signal processing methods used for conduction velocity estimation

Keywords

correlation methods; electromyography; medical signal processing; signal sampling; spectral analysis; conduction velocity estimation methods; cross correlation; morphological parameters; muscular action potential; myoelectric signal; physiological parameters; power spectral density; realistic artificial signal; recruitment frequency; signal processing methods; simulation model; statistical distributions; surface EMG simulation; Band pass filters; Biological system modeling; Electrodes; Electromyography; Filtering; Frequency; Recruitment; Signal processing; Surface morphology; Transversal filters;

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.1996.646535

Filename

646535