Artifacts Removal in EEG Signal using Adaptive Neuro Fuzzy Inference System

摘要

In this paper, we propose a hybrid soft computing technique called Adaptive Neuro-Fuzzy Inference System (ANFIS) to estimate the interference and to separate the Electroencephalogram (EEG) signal from its Electrooculogram (EOG), Electrocardiogram (ECG) and Electromyogram (EMG) artifacts. This paper shows that the proposed method successfully removes the artifacts and extracts the desired EEG signal.