Entropy of motor unit activity and surface electromyogram in an isometric force task

Ellen P. Zambalde; Carina M. Germer; Leonardo A. Elias

doi:10.1117/12.2606261

10 December 2021 Entropy of motor unit activity and surface electromyogram in an isometric force task

Ellen P. Zambalde, Carina M. Germer, Leonardo A. Elias

Proceedings Volume 12088, 17th International Symposium on Medical Information Processing and Analysis; 1208802 (2021) https://doi.org/10.1117/12.2606261
Event: Seventeenth International Symposium on Medical Information Processing and Analysis, 2021, Campinas, Brazil

Abstract

Neuromuscular function is typically evaluated by recording the surface electromyogram (sEMG) in different motor tasks. Linear stochastic signal analysis is largely employed to extract information from sEMG and motor unit activities, even though there are well known nonlinearities in the neuromuscular system. Measures based on information theory have been used in the neuroscience. These measures are model-independent that can capture both linear and nonlinear features of time series. Here, we used Shannon’s entropy to quantify the neural information present in (1) the single motor unit spike trains, (2) compound spike trains (a population signal), and (3) sEMG envelope (a gross measure of muscle electrical activity). Participants performed isometric force control tasks in two contraction intensities (2.5% and 5% of maximum voluntary contraction). We also calculated the correlation (linear regression model) between the entropy and either the coefficient of variation of muscle force or mean motor unit firing rate. Results showed that entropy increases with force level and it is higher for the spike trains. In addition, spike train entropy has moderate correlation with the mean motor unit firing rate. The results are quite promising, and they show that measures from information theory can be applied to signals from motor unit activities to differentiate contraction intensities and, with further analysis, to understand the nonlinear properties of the neuromuscular system.

Citation Download Citation

Ellen P. Zambalde, Carina M. Germer, and Leonardo A. Elias "Entropy of motor unit activity and surface electromyogram in an isometric force task", Proc. SPIE 12088, 17th International Symposium on Medical Information Processing and Analysis, 1208802 (10 December 2021); https://doi.org/10.1117/12.2606261

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available

Members: $17.00

Non-members: $21.00 ADD TO CART

PROCEEDINGS
9 PAGES

DOWNLOAD PAPER SAVE TO MY LIBRARY

GET CITATION

RIGHTS & PERMISSIONS

Get copyright permission Get copyright permission on Copyright Marketplace

KEYWORDS

Neurons

Information theory

Electronic filtering

Image information entropy

Action potentials

Analytical research

Data modeling

Show All Keywords

Keywords/Phrases

Search In:

Publication Years