An investigation of robustness in independent component analysis EMG

We developed a multi-channel electromyogram acquisition system using PSOC microcontroller to acquire multi-channel EMG signals. The two channel surface electrodes were used to measure and record EMG signals on forearm muscles. These two channels of EMG signals were performed a blind signal separation by using an independent component analysis (ICA) technique. The well known ICA algorithm called FASTICA is a useful method to separate two or more linear combination of source signals into statistically independent components. The results show that the ICA applied EMG is more robust than the without ICA applied EMG since the statistic variation is improved.