Noninvasive fetal ECG estimation using adaptive comb filter

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• 作者：Zheng Wei ; Wei Xueyun ; Zhong Jian jian ; Liu Hongxing
• 关键词：FECG ; fetal electrocardiogram ; MECG ; maternal ECG ; EMG ; electromyogram ; ACF ; adaptive comb filter ; BSS ; blind source separation ; SNR ; signal to noise ratio ; ICA ; independent component analysis
• 刊名：Computer Methods and Programs in Biomedicine
• 出版年：2013
• 出版时间：October, 2013
• 年：2013
• 卷：112
• 期：1
• 页码：125-134
• 全文大小：3887 K

文摘

This paper describes a robust and simple algorithm for fetal electrocardiogram (FECG) estimation from abdominal signal using adaptive comb filter (ACF). The ACF can adjust itself to the temporal variations in fundamental frequency, which makes it qualified for the estimation of quasi-periodic component from physiologic signal, such as ECG. The validity and performance of the described method are confirmed through experiments on real fetal ECG data. A comparison with the well-known independent component analysis (ICA) method has also been presented.