Classification of EEG Signals with Artifacts, Based on Fractal Dimension Analysis, Wavelet Transform and Neural Network

B. V. Lvov, Riad Taha Al-Kasasbeh

Abstract


Several examples of artifacts in real EEG signals are detected, analyzed and classified using wavelet transform for feature extraction and neural network as a classifier. Combination of this method with the analysis of fractal dimension dynamics makes the artifact detection in experimental EEG more efficient.

Keywords


EEG, artifacts, fractals, wavelet, neural networks

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