Logo
RECHERCHER

Sensitivity of the Surrogate Analysis method to synchronization and conduction velocity of muscular fibers

Téléchargements

Téléchargements par mois depuis la dernière année

Plus de statistiques...

Caza-Szoka, M. et Massicotte, D. (2021). Sensitivity of the Surrogate Analysis method to synchronization and conduction velocity of muscular fibers. Biomedical Signal Processing and Control, 63 . p. 102234. ISSN 1746-8094 DOI 10.1016/j.bspc.2020.102234

[thumbnail of MASSICOTTE_D_12_POST.pdf] PDF
Sous embargo jusqu'au 31 janvier 2023.

Télécharger (654kB)

Résumé

This paper shows that conduction velocity (CV) and motor unit action potential (MUAPs) synchronization affects the results of Surrogate Analysis (SA) of the surface electromyography (sEMG) signal. It will be verified if the SA can extract information from the sEMG signal. Also, it is the first time that the SA is interpreted from a physiological point-of-view. To illustrate the relationships between the CV, the synchronization and the SA, a simple dipole-based model for (sEMG) signal simulation is used. It is composed of multiple fibers superposed at the same location, leaving aside any complex geometrical considerations, but putting the emphasis on the timing of the MUAPs firing. Single-pulse synchronization as well as impulse train synchronization are studied. To highlight the difference between spectral (linear) features, nonlinear features and SA relation with the model parameters, the Median Frequency (MDF), the Kurtosis, the Higuchi’s Fractal Dimension (FD) and the FD based SA are compared. The simulation results show that the SA is jointly influenced by CV and the MUAPs synchronization, almost in a multiplicative way. These relations are also more pronounced for an impulse train than for a single pulse. Overall, the SA is shown to be a good feature to consider for CV and MUAPs synchronization estimation. It is moreover uncorrelated with spectral features and moderately with nonlinear features. These findings can be used to 1) help evaluate the CV and MUAPs synchronization and 2) interpret the result of the surrogate analysis.

Type de document: Article
Mots-clés libres: Fractal Features extraction EMG sensors sEMG Synchronization Nonlinear analysis Conduction velocity Motor unit action potential Hypothesis testing Dysphagia
Date de dépôt: 09 mai 2022 15:57
Dernière modification: 09 mai 2022 20:24
Version du document déposé: Post-print (version corrigée et acceptée)
URI: https://depot-e.uqtr.ca/id/eprint/10130

Actions (administrateurs uniquement)

Éditer la notice Éditer la notice