[EN] Muscle fatigue is a neuromuscular phenomenon which prevents
the muscles to generate the required force. Although there are
multiple studies about detecting this condition with surface
electromyography, this method has still some limitations. The
objective of this study was to determine the viability of some
biomarkers as early indicators of fatigue during moderate
exercise. Eight healthy volunteers performed 2 dynamic
exercises involving the flexo-extension of the knee lifting 2 and
4kg attached to the ankle. A bipolar electromyographic signal
was recorded simultaneously from: Rectus Femoris, Vastus
Lateralis and Biceps Femoris. Muscle activations were
extracted by supervised automatic segmentation and their root
mean square, bandwidth, entropy and spectral moment were
calculated. The maximum of the normalized coefficient of the
linear cross-correlation between each muscle pair were also
computed as well as the slope throughout the execution of the
exercise repetitions of all above mentioned parameters. Results
from 2kg exercise did not reveal clear signs of fatigue. By
contrast those from 4kg showed an increase of the root mean
square and spectral moment ratio, and decrease of bandwidth,
sample entropy and linear cross correlation coefficient, pointing
out fatigue. In this study, it has been confirmed the viability of
the cross-correlation technique as a possible new biomarker
related to the first signs of muscle fatigue.This study was supported by the Agència Valenciana de la Innovació project "iSARC-GENETICS, Plataforma Inteligente para la Detección Temprana, Ayuda al Diagnóstico y Seguimiento de la Sarcopenia". (INNEST/2021/365)Junquera-Godoy, I.; Gomis-Tena Dolz, J.; Martínez-De-Juan, JL.; Saiz Rodríguez, FJ.; Prats-Boluda, G. (2022). Analysis of surface electromyographic parameters for the assessment of muscle fatigue during moderate exercises. Universidad de Valladolid. 35-38. http://hdl.handle.net/10251/191588353