Removal of ECG Artifacts From EEG Using an Effective Recursive Least Square Notch Filter

Electroencephalogram (EEG) is a common tool for medical diagnosis, cognitive research, and managing neurological disorders. However, EEG is usually contaminated with various artifacts, making it difficult to interpret EEG data. In this study, a recursive least square (RLS) notch filter was developed...

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Detalles Bibliográficos

Autores principales:	Chenxi Dai, Jianjie Wang, Jialing Xie, Weiming Li, Yushun Gong, Yongqin Li
Formato:	Artigo
Lenguaje:	Inglês
Publicado:	IEEE 2019-01-01
Colección:	IEEE Access
Materias:	ECG artifacts EEG notch filter recursive least square
Acceso en línea:	https://ieeexplore.ieee.org/document/8884152/
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