Eztraction of Fetal ECG Signal via Adaptive Noise Cancellation Approach

摘要：

The non-invasive fetal Electrocardiogram (FECG) can provide reliable information about the fetusstate. The original FECG signal is nevertheless very complex and severely contaminated by external disturbances or noises. It is very hard, even not impossible, to reliably extract the FECG from the abdominal signal using traditional techniques. In this work the recursive least squares (RLS) based adaptive noise canceling (ANC) approach is applied to eliminate the maternal ECG (MECG) and hence to extract the FECG. The experimental results have demonstrated that the developed ANC approach can speed up convergence of the normalized least mean squares (NLMS) algorithm and is able to track non-stationary FECG signal in an adaptive manner.

关键词： fetal ECG adaptive filtering adaptive noise cancellation

作者: Yanjun ZENG Shijin LIU Jianhua ZHANG

作者单位: Beijing University of Technology, Beijing 100022, CHINA Dept. of Mechanics & Electronics Engineering, Hubei Professional College of Land Resource, Hubei 434 Department of Automatic Control & Systems Engineering, University of Sheffield, Sheffield S1 3JD, Un

会议类型: 国际会议

会议名称: The 2nd International Conference on Bioinformatics and Biomedical Engineering(iCBBE 2008)(第二届生物信息与生物医学工程国际会议)

会议地点: 上海

会议语种:英文

页码: 2270-2273

在线出版日期: 2008-05-16（万方平台首次上网日期，不代表论文的发表时间）