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ECG ARTIFACT REMOVAL FROM SURFACE EMG SIGNALS BY COMBINING EMPIRICAL MODE DECOMPOSITION AND INDEPENDENT COMPONENT ANALYSIS

机译：结合经验模式分解和独立成分分析从表面肌电信号去除心电假象

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Joachim Taelman; Bogdan Mijovic; Sabine Van Huffel; Stéphanie Devuyst; Thierry Dutoit;
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年度 2011
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1. A modified algorithm of the combined ensemble empirical mode decomposition and independent component analysis for the removal of cardiac artifacts from neuromuscular electrical signals [J] . Kwang Jin Lee, Eue Keun Choi, Seung Min Lee, Physiological measurement . 2014,第4期

机译：结合整体经验模式分解和独立分量分析的改进算法，用于从神经肌肉电信号中去除心脏伪影
2. The Removal of EOG Artifacts From EEG Signals Using Independent Component Analysis and Multivariate Empirical Mode Decomposition [J] . Gang Wang, Chaolin Teng, Kuo Li, Biomedical and Health Informatics, IEEE Journal of . 2016,第5期

机译：使用独立分量分析和多元经验模态分解从脑电信号中去除EOG伪像
3. Integration of multivariate empirical mode decomposition and independent component analysis for fetal ECG separation from abdominal signals [J] . Thanaraj Palani, Roshini Mable, Balasubramanian Parvathavarthini Technology and health care: official journal of the European Society for Engineering and Medicine . 2016,第6期

机译：多元经验模态分解和独立成分分析的集成，可将胎儿心电图从腹部信号中分离出来
4. Removing ECG artifacts from the EMG: A comparison between combining empirical-mode decomposition and independent component analysis and other filtering methods [C] . Lee Kwang Jin, Lee Boreom International Conference on Control, Automation and Systems . 2013

机译：从EMG中去除ECG伪像：将经验模式分解与独立成分分析和其他过滤方法相结合的比较
5. Removal of ERP artifacts using independent component analysis. [D] . Wu, Jia. 2005

机译：使用独立的组件分析来消除ERP工件。
6. A Novel Technique for Muscle Onset Detection Using Surface EMG Signals without Removal of ECG Artifacts [O] . Ping Zhou, Xu Zhang -1

机译：使用表面肌电信号而不去除ECG伪像的肌肉发作检测的新技术
7. A novel technique for muscle onset detection using surface EMG signals without removal of ECG artifacts [O] . Ping Zhou, Xu Zhang 2013

机译：使用表面EMG信号进行肌肉发作检测的新技术，无需移除ECG伪影

ECG ARTIFACT REMOVAL FROM SURFACE EMG SIGNALS BY COMBINING EMPIRICAL MODE DECOMPOSITION AND INDEPENDENT COMPONENT ANALYSIS

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