Evaluation of Artifact Subspace Reconstruction for Automatic Artifact Components Removal in Multi-Channel EEG Recordings

2019530 citationsJournal Article

Authors

Chi-Yuan Chang · University of California San Diego

Sheng-Hsiou Hsu · University of California San Diego

Luca Pion-Tonachini · University of California San Diego

Tzyy‐Ping Jung · University of California San Diego

Abstract

With an appropriate choice of parameter, ASR can be a powerful and automatic artifact removal approach for offline data analysis or online real-time EEG applications such as clinical monitoring and brain-computer interfaces.

Topics & Keywords

EEG and Brain-Computer Interfaces Blind Source Separation Techniques Neural dynamics and brain function

Publication Details

Published in: IEEE Transactions on Biomedical Engineering

Volume 67, Issue 4, pp. 1114-1121

DOI: 10.1109/tbme.2019.2930186

Field-Weighted Citation Impact: 25.21

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Evaluation of Artifact Subspace Reconstruction for Automatic Artifact Components Removal in Multi-Channel EEG Recordings

Authors

Abstract

Topics & Keywords

Publication Details