ArticleAuthors: Pham, Ba Hoang (2013)
This thesis presented an efficient method of separating EMG artifacts from EEG signals containing epileptic spikes, specifically helps doctors accurately diagnose epilepsy by reduced muscular artifacts in EEG. Firstly, the noisy signals are pre-processed by a combined filter which consists of a low-pass, a high-pass and a notch filters. After that, we focused on blind source separation method - SOBI, on the basis that thesis evaluated the quality of this algorithm with simulated signals and real measured signals from patients. In the next step, the power spectrum density - PSD method is applied to identify the EMG source and take the compensation on each channel. We also investigated ... 
