Characterizing Masseter Surface Electromyography on EEG-Related Frequency Bands in Parkinson’s Disease Neuromotor Dysarthria

Andrés Gómez-Rodellar, Pedro Gómez-Vilda*, JoséManuel M. Ferrández-Vicente, Athanasios Tsanas

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract / Description of output

Speech has proven to be an effective neuromotor biomarker, capitalizing on the capabilities of contact-free technology. This study aims to evaluate the behavior of facial muscles’ activity estimating the entropy of their surface electromyographic (sEMG) activity during the production of diadochokinetic speech tests. The study explores the entropic behavior of the sEMG signal in certain frequency bands associated to EEG activity comparing participants affected by neuromotor diseases than in age-matched normative participants. Using recordings from two PD vs two HC participants on 5 EEG bands (δ, ϑ, α, β, γ ), the maximum entropy estimated on the HC group was 5.70 10 - 5, whereas the minimum entropy on the PD group was 7.25 10 - 5. A hypothesis test rejected the similarity between the PD and HC results with a p-value under 0.0003. This different behavior might open the way to a wider study in characterizing neuromotor disease alterations from neuromotor origin.

Original languageEnglish
Title of host publicationArtificial Intelligence in Neuroscience
Subtitle of host publicationAffective Analysis and Health Applications - 9th International Work-Conference on the Interplay Between Natural and Artificial Computation, IWINAC 2022, Proceedings
EditorsJosé Manuel Ferrández Vicente, José Ramón Álvarez-Sánchez, Félix de la Paz López, Hojjat Adeli
PublisherSpringer Science and Business Media Deutschland GmbH
Pages219-228
Number of pages10
ISBN (Print)9783031062414
DOIs
Publication statusPublished - 24 May 2022
Event9th International Work-Conference on the Interplay Between Natural and Artificial Computation, IWINAC 2022 - Puerto de la Cruz, Spain
Duration: 31 May 20223 Jun 2022

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume13258 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference9th International Work-Conference on the Interplay Between Natural and Artificial Computation, IWINAC 2022
Country/TerritorySpain
CityPuerto de la Cruz
Period31/05/223/06/22

Keywords / Materials (for Non-textual outputs)

  • EEG
  • Entropy
  • Hypokinetic dysarthria
  • Neuromotor diseases
  • Parkinson’s Disease
  • Surface electromyography

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