Characterization of muscle fatigue in the lower limb by sEMG and angular position using the WFD protocol

• Autorzy: Chaparro-Cárdenas Silvia L. , Castillo-Castañeda Eduardo , Lozano-Guzmán Alejandro A. , Zequera Martha , Gallegos-Torres Ruth Magdalena , Ramirez-Bautista Julian Andres

Identyfikatory

DOI

10.1016/j.bbe.2021.06.003

• Języki publikacji: EN

Abstrakty

EN

Lower limb muscle fatigue has been evaluated in previous studies to understand painrelated movement variability by analyzing different muscles using surface electromyography (sEMG) and angular position signals; however, further studies are needed to particularly understand strength loss due to gait and to inform the development of intelligent control systems for rehabilitation devices in the prevention and management of musculoskeletal or balance control disorders in the Latin American population. A pilot study was developed to characterize muscle fatigue using a walking fatigue detection (WFD) protocol, an instrumented orthosis and a treadmill. Electrical activity was acquired from Rectus Femoris (RF), Biceps Femoris (BF), Tibialis Anterior (TA) and Gastrocnemius Lateralis (GL) muscles, as well as the angular position of the hip and knee of sixteen healthy Latin-American women, aged 22–34 years, 63.5 ± 6 kg mass, and 161 ± 7 cm height. Data were analyzed with a one-way ANOVA analysis of variance and Tukey’s test. Preliminary results show that muscle fatigue is clearly identifiable and is represented by a decrease in both amplitude and frequency of the sEMG signal and lower limb angular position. Muscle fatigue was evident in 93.75% of the participants at the end of the test. 75% of the participants experienced muscle fatigue halfway through the test, of which 31.35% were unable to regain strength causing more muscles to fatigue, due to the extra effort they were enduring it was also found that when one muscle goes into fatigue, another muscle supports the action observing muscle compensation but without a uniform pattern.

Słowa kluczowe

EN

lower limb muscle; muscle fatigue detection; post fatigue pattern; sEMG signals; statistical analysis; wearable sensor

PL

mięsień kończyny dolnej; zmęczenie mięśni; sygnał sEMG; analiza statystyczna

• Wydawca: Nałęcz Institute of Biocybernetics and Biomedical Engineering of the Polish Academy of Sciences ; Elsevier
• Czasopismo: Biocybernetics and Biomedical Engineering
• Rocznik: 2021
• Tom: Vol. 41, no. 3
• Strony: 933--943
• Opis fizyczny: Bibliogr. 38 poz., rys., tab., wykr.

Twórcy

autor

Chaparro-Cárdenas Silvia L.

• Centro de Investigación en Ciencia Aplicada y Tecnología Avanzada – Instituto Politécnico Nacional, Av. Cerro Blanco #141, Col. Colinas del Cimatario, Querétaro, Mexico; Fundación Universitaria de San Gil, San Gil, Colombia

autor

Castillo-Castañeda Eduardo

• Centro de Investigación en Ciencia Aplicada y Tecnología Avanzada – Instituto Politécnico Nacional, Querétaro, Mexico

autor

Lozano-Guzmán Alejandro A.

• Centro de Investigación en Ciencia Aplicada y Tecnología Avanzada – Instituto Politécnico Nacional, Querétaro, Mexico

autor

Zequera Martha

• Departamento de Electrónica, BASPI-FootLaB, Pontificia Universidad Javeriana, Bogotá, Colombia

autor

Gallegos-Torres Ruth Magdalena

• Department of Nursing, Universidad Autónoma de Querétaro, Centro Universitario, Querétaro, Mexico

autor

Ramirez-Bautista Julian Andres

• Fundación Universitaria de San Gil, San Gil, Colombia

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Uwagi

Opracowanie rekordu ze środków MNiSW, umowa Nr 461252 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2021).