To obtain the correct analysis of electroencephalogram (EEG) signals, non-physiological and physiological artifacts should be removed from EEG signals. This study aims to give an overview on existing methodology for removing artifacts, e.g., ocular, cardiac, muscle artifacts. The datasets, simulation platforms, performance measures artifact removal methods in previous related research are summa...

Abstract Electromyography (EMG) is the superposition of motor unit action potential (MUAP) in many muscle fibers time and space. In real measurement, EMG signals will contaminate signals, therefore they bring great difficulties to qualified analysis interpretation EEG it a momentous step remove artifacts from signals. recent years, new methods were developed for removal such as Multivariate Emp...