A Robust and Non-invasive Fetal Electrocardiogram Extraction Algorithm in a Semi-Blind Way

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概要

• 論文の詳細を見る

• Fetal electrocardiogram (FECG) extraction is of vital importance in biomedical signal processing. A promising approach is blind source extraction (BSE) emerging from the neural network fields, which is generally implemented in a semi-blind way. In this paper, we propose a robust extraction algorithm that can extract the clear FECG as the first extracted signal. The algorithm exploits the fact that the FECG signals kurtosis value lies in a specific range, while the kurtosis values of other unwanted signals do not belong to this range. Moreover, the algorithm is very robust to outliers and its robustness is theoretically analyzed and is confirmed by simulation. In addition, the algorithm can work well in some adverse situations when the kurtosis values of some source signals are very close to each other. The above reasons mean that the algorithm is an appealing method which obtains an accurate and reliable FECG.

• （社）電子情報通信学会の論文
• 2008-03-01

著者

• Zhang Zhi-lin

  School Of Computer Science And Engineering University Of Electronic Science And Technology Of China

• Chen Jia

  School Of Computer Science And Engineering University Of Electronic Science And Technology Of China

• YE Yalan

  School of Computer Science and Engineering, University of Electronic Science and Technology of China

• Ye Yalan

  School Of Computer Science And Engineering University Of Electronic Science And Technology Of China

• Chen Jia

  School Of Computer Science And Engineer Beihang University

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• A Robust and Non-invasive Fetal Electrocardiogram Extraction Algorithm in a Semi-Blind Way
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