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Muscle fatigue analysis during dynamic contractions based on biomechanical features and permutation entropy

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Publication:2050051
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DOI10.3934/mbe.2020142zbMath1470.92060OpenAlexW3009489684WikidataQ90792142 ScholiaQ90792142MaRDI QIDQ2050051

David Cuesta-Frau, D. A. Orrego-Metaute, Y. E. Jaramillo-Munera, J. Murillo-Escobar, E. Delgado-Trejos

Publication date: 27 August 2021

Published in: Mathematical Biosciences and Engineering (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.3934/mbe.2020142


zbMATH Keywords

hierarchical clusteringunsupervised learningbiomechanicspermutation entropymuscle fatiguesEMG


Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Biomedical imaging and signal processing (92C55) Biomechanics (92C10) Physiology (general) (92C30)


Related Items (2)

Recognition study of denatured biological tissues based on multi-scale rescaled range permutation entropy ⋮ Intermuscular coupling network analysis of upper limbs based on R-vine copula transfer entropy




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