The invention provides an entropy-based
muscle fatigue assessment method and application thereof, and particularly relates to the technical field of
signal processing, and the method comprises the steps: firstly collecting a surface electromyogram (sEMG)
signal, and carrying out the preprocessing; then, fractional calculus is combined with a fluctuation dispersion entropy (FDE)
algorithm, and a multi-scale
processing process is introduced, so that an RCMFFDE
algorithm is innovatively proposed. Performing multi-scale analysis on the preprocessed sEMG
signal by using the
algorithm to generate a plurality of entropy curves; the entropy curve meeting the preset condition is selected as the final entropy curve, and the final entropy curve can accurately reflect the
muscle fatigue state. According to the method, the
muscle fatigue degree can be effectively and reliably evaluated, and the method has important
kinematics and medical significance for preventing
human body muscle diseases and sports injuries.