MP-based method on detecting and eliminating the synchronous ECG artifacts in the EEG signals

摘要：

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%.

作者: Yan-Bo Zhou Shi-Min Cai Tao Zhou Pei-Ling Zhou

作者单位: Department of Electronic Science and Technology University of Science and Technology of China, Hefei Department of Electronic Science and Technology University of Science and Technology of China, Hefei Department of Physics University of Fribourg, P′erolles, 1700 Fribourg, Switzerland Department of Mo

会议类型: 国际会议

会议名称: The 4th International Conference on Bioinformatics and Biomedical Engineering(第四届IEEE生物信息与生物医学工程国际会议 iCBBE 2010)

会议地点: 成都

会议语种:英文

页码: 1-4

在线出版日期: 2010-06-18（万方平台首次上网日期，不代表论文的发表时间）