MP-Based Method on Detecting and Eliminating the Synchronous ECG Artifacts in the EEG Signals

A method is proposed to detect and eliminate the synchronous ECG artifacts in the EEG Signals based on the matching pursuit algorithm, which doesn't require the additional synchronous ECG channel or multichannel signals. By using the mixed over-complete dictionary, the EEG signals based on the...

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Bibliographic Details
Main Authors: Yan-Bo Zhou, Shi-Min Cai, Tao Zhou, Pei-Ling Zhou
Format: Conference Proceeding
Language:English
Subjects:
Cerebral cortex
Dictionaries
Electrocardiography
Electroencephalography
Matching pursuit algorithms
Neurons
Physics
Pursuit algorithms
Signal processing algorithms
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Description
Summary:A method is proposed to detect and eliminate the synchronous ECG artifacts in the EEG Signals based on the matching pursuit algorithm, which doesn't require the additional synchronous ECG channel or multichannel signals. By using the mixed over-complete dictionary, the EEG signals based on the matching pursuit algorithm are decomposed into atoms. The atoms that have the similar morphological characteristics of R-wave are selected to detect the synchronous ECG R-peak artifacts. Then, the adaptive threshold algorithm is introduced to filter the false detection induced by the morphological characteristics of both ECG artifacts and background EEG signals. At last, the elimination of detected ECG artifacts is realized by the ensemble average subtraction method. By analyzing EEG signals in MIT/BIH database, it presents the excellent result with mean error ratio 1.70%.
ISSN:2151-7614
2151-7622
DOI:10.1109/ICBBE.2010.5516334