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

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

Research output: Contribution to journalArticlepeer-review

1 Scopus citations

Abstract

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.

Original languageEnglish
Pages (from-to)933-943
Number of pages11
JournalBiocybernetics and Biomedical Engineering
Volume41
Issue number3
DOIs
StatePublished - 1 Jul 2021
Externally publishedYes

Keywords

  • Lower limb muscle
  • Muscle fatigue detection
  • Post-fatigue pattern
  • Statistical analysis
  • Wearable sensors
  • sEMG signals

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