The extraction of fetal electrocardiogram singal based on improved ICA algorithm

The present paper is a research on independent component analysis (ICA) method in the fetal electrocardiogram (FECG) extraction. Based on the fundamental model for the ICA and the fixed-point FastICA algorithm using negentropy, damped Newton iteration was used in place of Newton iteration. The algor...

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Bibliographic Details
Published inSheng wu yi xue gong cheng xue za zhi Vol. 28; no. 1; p. 36
Main Authors Zhang, Shi, Zhao, Miao, Wang, Mingquan, Wu, Chunli
Format Journal Article
LanguageChinese
Published China 01.02.2011
Subjects
Algorithms
Electrocardiography - methods
Female
Fetal Heart - physiology
Humans
Pregnancy
Principal Component Analysis - methods
Signal Processing, Computer-Assisted
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Summary:The present paper is a research on independent component analysis (ICA) method in the fetal electrocardiogram (FECG) extraction. Based on the fundamental model for the ICA and the fixed-point FastICA algorithm using negentropy, damped Newton iteration was used in place of Newton iteration. The algorithm was improved in order to overcome the drawbacks where it is more sensitive to choosing the initial value. The improved algorithm was used to extract the FECG. A synthetic ECG was used in the experiments, and three simulation signal sources were selected, including two sources of ECG and one Gaussian noise source. The experimental results were satisfactory, The convergence rate was faster and the error was smaller.
ISSN:1001-5515