Estimation of the firing rate of an incomplete MUAP train

Author

Chen, Yunquan ; Laszlo, Charles A. ; Hershler, Cecil

Author_Institution

Dept. of Electr. Eng., British Columbia Univ., Vancouver, BC, Canada

fYear

1993

fDate

14-17 Sep 1993

Firstpage

970

Abstract

The authors have developed a multi-channel surface electromyographic decomposition method (McSED) for routine clinical examinations and for clinical research. In the McSED method, the firing rate of an incomplete motor unit action potential (MUAP) train is estimated with a maximum likelihood (ML) estimator. Calculations utilize a simple iterative numerical method. In addition to the firing rate, the variance of the firing time and the detection probability of the MUAP´s in a train are also estimated. Results show that the estimation method is effective, and that the algorithm is fast

Keywords

bioelectric potentials; maximum likelihood estimation; medical signal processing; muscle; McSED method; clinical research; detection probability; fast algorithm; firing rate estimation; firing time variance; incomplete motor unit action potential train; maximum likelihood estimator; multichannel surface electromyographic decomposition method; routine clinical examinations; simple iterative numerical method; Algorithm design and analysis; Electrodes; Electromyography; Histograms; Iterative algorithms; Iterative methods; Maximum likelihood estimation; Muscles; Needles; Neuromuscular;

fLanguage

English

Publisher

ieee

Conference_Titel

Electrical and Computer Engineering, 1993. Canadian Conference on

Conference_Location

Vancouver, BC

Print_ISBN

0-7803-2416-1

Type

conf

DOI

10.1109/CCECE.1993.332456

Filename

332456