Classification of EMG signal on arm muscle motion using special fourier transformation to control electric wheelchair

Research about electromyograph (EMG)is quite popular in biomedical application. This paper present classification of EMG signal on arm muscle motion using Special Fourier Transformation to control electric wheelchair. This method is a modification of the common fourier transforms that are used to obtain the fourier component of a signal with a known frequency. Fourier component value is written on a microcontroller. At any time the ADC data retrieval is subsequently processed using a special fourier transform. Error value of the fourier component written on microcontroller with the result of the calculation at any time is used as control data to drive the electric wheelchair. The arm muscles motion that used to control the electric wheelchair are the ulna muscles, the flexor muscles of the carpi ulnaris, and bicep muscles.