Are signals from different motor units correlated?

Author

González-Cueto, José A.

Author_Institution

Dept. of Electr. & Comput. Eng., Dalhousie Univ., Halifax, NS, Canada

Volume

3

fYear

2003

fDate

17-21 Sept. 2003

Firstpage

2722

Abstract

A model of the surface motor unit action potential (MUAP) combined with the generation of motor unit (MU) firing statistics are used to study the correlation between MUAP trains from different units corresponding to skin surface recording conditions. Simulations of MU firing statistics incorporate MU synchronization levels reported in the literature. The contribution of individual MU pairs to the global myoelectric signal (MES) correlation function is assessed. Results indicate that contributions involving two different MUs decrease steadily becoming small for record lengths as short as 30 seconds. Thus, the error incurred in computing MES correlation functions as the sum of the contributions involving only one MU is also shown to be small.

Keywords

bioelectric phenomena; biomechanics; correlation methods; measurement errors; neurophysiology; physiological models; statistics; synchronisation; 30 sec; correlation; firing statistics; global myoelectric signal; motor units; skin surface recording; surface motor unit action potential; synchronization levels; Amplitude estimation; Central nervous system; Computational Intelligence Society; Computational modeling; Motor drives; Muscles; Optical fiber theory; Skin; Statistical distributions; Statistics;

fLanguage

English

Publisher

ieee

Conference_Titel

Engineering in Medicine and Biology Society, 2003. Proceedings of the 25th Annual International Conference of the IEEE

ISSN

1094-687X

Print_ISBN

0-7803-7789-3

Type

conf

DOI

10.1109/IEMBS.2003.1280479

Filename

1280479