Review and comparison of linear algorithms to quantify muscle fatigue based on sEMG signals.

Surface electromyography techniques are widely used in field of motion analysis and ergonomics combining precise muscular activation assessment with low-invasiveness and wearability. The aim of this investigation is to identify the myoelectrical manifestations of fatigue and to compare the effectiveness of sEMG-based quantitative indices for fatigue assessment. The investigated indexes are the ARV and RMS signal amplitudes, the mean frequency, the median frequency, the Dimitrov index, the instantaneous mean frequency and Wavelet distribution-based The aim of this study is to compare quantitative indices for assessing muscular fatigue from the sEMG acquisitions. The assessment is accomplished with an experimental investigation of ten subjects and two repetitive movement types. The best performing indices are found to be the WIRE51 and the Dimitrov ones.