Transfemoral amputee semg classification for gait detection

Many investigations have been performed to understand the biomechanical relationship using biosignal. Surface EMG (sEMG) signal is particularly interesting part for human rehabilitation system in order to detect the gait intention and widely studied in the field of rehabilitation system. Intention detection of gait initiation using sEMG under dynamic condition is essential to understand mechanisms of movement control in areas of clinical research, such as rehabilitation medicine, orthopedic and sports. In this study, a method using adaptive filter and ANN algorithm was applied to predict gait state in the various walking environment. Estimated sEMG signal was used to artificial neural network (ANN) input data for training to prediction of gait environment, then it was used for prediction of level walk, slope and stair walk.