Automated CCA-MWF Algorithm for Unsupervised Identification and Removal of EOG Artifacts From EEG
IEEE Journal of Biomedical and Health Informatics
|November 30, 2021
Summary
This study introduces ACCAMWF, an automated method to remove eye blink artifacts from electroencephalography (EEG) data. This improves emotion recognition for affective brain-computer interfaces (ABCI) in mental health applications.
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2026-06-19T13:39:17.757333+00:00


