Removal methods of EMG Artifacts from EEG Signals

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 Empirical Mode Decomposition Singular Spectrum Analysis. particular, some researchers combined two used their respective advantages more thoroughly without affecting signal, combination Independent Component Analysis Wavelet Method. this paper, muscular above are discussed. Moreover, traditional including signal transform, filtering Blind source separation (BSS) also reviewed.