Abstract

<p>This article discusses the development of a hybrid EEG signal filter based on independent component analysis (ICA) and wavelet transform. The purpose of the filter is to remove artifacts from EEG signals caused by physiological processes that can be identified by synchronous time series data. The article describes the algorithm and justifies the suitability of the method for the task. Empirical results from real experimental studies are also presented.</p>

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