Robust Method for Separation of Noisy Biomedical Signals

摘要：

Biomedical signals are a rich source of information about physiological processes, but they are often contaminated by noise. In order to separate biomedical signals from mixtures effectually, we propose a novel blind source extraction method via independent component analysis (ICA). The robustness with respect to noise of this method lies in twofold: on the one hand, the method does not lead to biassed estimates and, on the other hand, it minimizes the amount of signal and noise interference on the estimated sources. Preliminary results tested with ECG signals have demonstrated that the proposed method may be promising for blindly separating biomedical signals in the presence of noise and further decompose the mixed signals into subcomponents.

关键词： Biomedical signals regression analysis ECG least square ICA blind signal separation additive noise

作者: Yongjian Zhao Bioqiang Liu

作者单位: Information Engineering Institute, Shandong University at Weihai Weihai, Shandong, China Control Sci Control Science and Engineering Institute, Shandong University Jinan, Shandong, China

会议类型: 国际会议

会议名称: 2010 International Conference on Advanced Mechanical Engineering(2010年先进机械工程国际学术会议 AME 2010)

会议地点: 洛阳

会议语种:英文

页码: 5-8

在线出版日期: 2010-09-04（万方平台首次上网日期，不代表论文的发表时间）