Title :
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
fDate :
31 Oct-3 Nov 1996
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;
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
DOI :
10.1109/IEMBS.1996.646535
