Use of Neural Networks for Identification of Artifacts in Electroencephalographic Signals Decomposed Using Wavelet Packet Transform

Abstract

An algorithm for automatic interference (artifact) detection is suggested. This algorithm detects interference (artifact) as a component of EEG signals. The algorithm is based on approximation of electrophysiological sig nal using neural network model decomposition using the wavelet packet transform.