Predicting muscle fatigue: a response surface approximation based on proper generalized decomposition technique

Sierra, M. (Universidad de Zaragoza) ; Grasa, J. (Universidad de Zaragoza) ; Muñoz, M. J. (Universidad de Zaragoza) ; Miana-Mena, F. (Universidad de Zaragoza) ; González, D. (Universidad de Zaragoza)
Predicting muscle fatigue: a response surface approximation based on proper generalized decomposition technique
Resumen: A novel technique is proposed to predict force reduction in skeletal muscle due to fatigue under the influence of electrical stimulus parameters and muscle physiological characteristics. Twelve New Zealand white rabbits were divided in four groups ((Formula presented.)) to obtain the active force evolution of in vitro Extensor Digitorum Longus muscles for an hour of repeated contractions under different electrical stimulation patterns. Left and right muscles were tested, and a total of 24 samples were used to construct a response surface based in the proper generalized decomposition. After the response surface development, one additional rabbit was used to check the predictive potential of the technique. This multidimensional surface takes into account not only the decay of the maximum repeated peak force, but also the shape evolution of each contraction, muscle weight, electrical input signal and stimulation protocol. This new approach of the fatigue simulation challenge allows to predict, inside the multispace surface generated, the muscle response considering other stimulation patterns, different tissue weight, etc.
Idioma: Inglés
DOI: 10.1007/s10237-016-0841-y
Año: 2017
Publicado en: BIOMECHANICS AND MODELING IN MECHANOBIOLOGY 16, 625-634 (2017), 1-10
ISSN: 1617-7959

Factor impacto JCR: 3.212 (2017)
Categ. JCR: ENGINEERING, BIOMEDICAL rank: 20 / 78 = 0.256 (2017) - Q2 - T1
Categ. JCR: BIOPHYSICS rank: 22 / 72 = 0.306 (2017) - Q2 - T1

Factor impacto SCIMAGO: 1.138 - Biotechnology (Q1) - Modeling and Simulation (Q1) - Mechanical Engineering (Q1)

Financiación: info:eu-repo/grantAgreement/ES/DGA/T88
Financiación: info:eu-repo/grantAgreement/ES/MINECO/DPI2014-54981-R
Financiación: info:eu-repo/grantAgreement/ES/UZ/JIUZ-2013-TEC-09
Tipo y forma: Article (PostPrint)
Área (Departamento): Área Fisiología (Dpto. Farmacología y Fisiolog.)
Área (Departamento): Área Farmacología (Dpto. Farmacología y Fisiolog.)
Área (Departamento): Área Mec.Med.Cont. y Teor.Est. (Dpto. Ingeniería Mecánica)


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 Record created 2017-10-09, last modified 2020-07-29


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