The effect of artifact rejection on the performance of a convolutional neural network based algorithm for binary EEG data classification

M.N. van Stigt, C. Ruiz Camps,J.M. Coutinho,H.A. Marquering,B.S. Doelkahar,W.V. Potters

Biomedical Signal Processing and Control（2023）

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摘要

•Artifacts in electroencephalography data may complicate interpretation.•Artifacts can automatically be rejected with high performance.•Artifact rejection does not improve neural network classification performance.•Artifact rejection does speed up neural network training.

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关键词

Electroencephalography, Artifact, Diagnostic method, Convolutional neural network

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