TY - JOUR
T1 - Characterization of muscle fatigue in the lower limb by sEMG and angular position using the WFD protocol
AU - Chaparro-Cárdenas, Silvia L.
AU - Castillo-Castañeda, Eduardo
AU - Lozano-Guzmán, Alejandro A.
AU - Zequera, Martha
AU - Gallegos-Torres, Ruth Magdalena
AU - Ramirez-Bautista, Julian Andres
N1 - Publisher Copyright:
© 2021
PY - 2021/7/1
Y1 - 2021/7/1
N2 - Lower limb muscle fatigue has been evaluated in previous studies to understand pain-related 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.
AB - Lower limb muscle fatigue has been evaluated in previous studies to understand pain-related 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.
KW - Lower limb muscle
KW - Muscle fatigue detection
KW - Post-fatigue pattern
KW - Statistical analysis
KW - Wearable sensors
KW - sEMG signals
UR - http://www.scopus.com/inward/record.url?scp=85111005402&partnerID=8YFLogxK
UR - https://www.scimagojr.com/journalsearch.php?q=19400158663&tip=sid&clean=0
U2 - 10.1016/j.bbe.2021.06.003
DO - 10.1016/j.bbe.2021.06.003
M3 - Article
AN - SCOPUS:85111005402
SN - 0208-5216
VL - 41
SP - 933
EP - 943
JO - Biocybernetics and Biomedical Engineering
JF - Biocybernetics and Biomedical Engineering
IS - 3
ER -