New directions in the use of a sensor output signal evaluation system for biofeedback training

Electromyograms (EMGs) are affected by the location of the measuring electrodes and the shape and size of the probes. Therefore, EMG evaluation is macroscopic and subjective, and no algorithm has yet been devised for quantifying the degree of muscular abnormality or recovery. We have developed measurement parameters for evaluating the average rectified surface EMG (sEMG) data obtained from perineal muscles during biofeedback training (BFT) of patients with dysuria and of patients who are prone to falling. This evaluation of new parameters is intended to serve as a statistical technique that uses EMG signals. We have already evaluated the effects of BFT using this novel sensor output signal evaluation (SOSE) system. In this study, a combination of SOSE systems is developed to make their useful application emerge.