Removal of ocular artifacts from electro-encephalogram by adaptive filtering

By Ping He, Glenn F. Wilson, Christopher A. Russell. Medical and Biological Engineering and Computing, 2004

389 citations recorded by the source corpus.

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Diagnosis of Alzheimer's disease from EEG signals: where are we standing? (2010, methodology): “To remove artifacts, on the other hand, the filter needs to adapt to the spectrum of the recorded EEG: it should attenuate the recorded EEG in frequency ranges that mostly contain artifacts [31, 32, 33].”
Emotion recognition using brain activity (2008, neutral): “[26] have investigated the use of adaptive filtering for eog artifact removal.”
Artifact Removal in Physiological Signals—Practices and Possibilities (2012, methodology): “EEG [45] and EMG recording for removing muscle movement artifact from ECG [54].”
Removal of Artifacts from EEG Signals: A Review (2019, methodology): “Another alternative optimization algorithm is recursive least squares algorithm (RLMS) which convergence faster than LMS, but still requiring high calculation cost [81].”