An automatic analysis method for detecting and eliminating ECG artifacts in EEG

Authors:
Joe-Air Jiang;Chih-Feng Chao;Ming-Jang Chiu;Ren-Guey Lee;Chwan-Lu Tseng;Robert Lin
Affiliations:
Department of Bio-Industrial Mechatronics Engineering, National Taiwan University, Taipei, Taiwan;Department of Bio-Industrial Mechatronics Engineering, National Taiwan University, Taipei, Taiwan;Department of Neurology, National Taiwan University Hospital, Taipei, Taiwan;Department of Electronic Engineering, National Taipei University of Technology, Taipei 10643, Taiwan;Department of Electric Engineering, National Taipei University of Technology, Taipei, Taiwan;Department of Bio-Industrial Mechatronics Engineering, National Taiwan University, Taipei, Taiwan
Venue:
Computers in Biology and Medicine
Year:
2007

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Abstract

An automated method for detecting and eliminating electrocardiograph (ECG) artifacts from electroencephalography (EEG) without an additional synchronous ECG channel is proposed in this paper. Considering the properties of wavelet filters and the relationship between wavelet basis and characteristics of ECG artifacts, the concepts for selecting a suitable wavelet basis and scales used in the process are developed. The analysis via the selected basis is without suffering time shift for decomposition and detection/elimination procedures after wavelet transformation. The detection rates, above 97.5% for MIT/BIH and NTUH recordings, show a pretty good performance in ECG artifact detection and elimination.