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

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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Bibliographic Details
Main Authors: Chenxi Dai, Jianjie Wang, Jialing Xie, Weiming Li, Yushun Gong, Yongqin Li
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
ECG artifacts
EEG
notch filter
recursive least square
Online Access:https://ieeexplore.ieee.org/document/8884152/

Internet

https://ieeexplore.ieee.org/document/8884152/

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