Fetal Electrocardiogram Extraction Based on Modified Robust Independent Component Analysis

Wen Po Yao; Jun Chang Zhao; Zheng Zhong Zheng; Tie Bing Liu; Hong Xing Liu; Jun Wang

doi:10.4028/www.scientific.net/AMR.749.250

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HomeAdvanced Materials ResearchAdvanced Materials Research Vol. 749Fetal Electrocardiogram Extraction Based on...

Fetal Electrocardiogram Extraction Based on Modified Robust Independent Component Analysis

Abstract:

Fetal electrocardiogram (FECG) separation gets widely attention due to its clinical significance. In the paper, we proposed an improved robust independent component analysis for fetal ECG separation. Firstly, wavelet decomposition was applied to fetal ECG to get the relevant parameters. Then, the RobustICA was used to separate the mixed signals. Compared to robust independent component analysis, computing speed of the improved algorithm increased by an average of 15 percent while minimum mean square error fluctuations 0.0008, which indicated that this algorithm could be effectively used in clinical fetal ECG monitoring.

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Periodical:

Advanced Materials Research (Volume 749)

Pages:

250-253

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.749.250

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Online since:

August 2013

Authors:

Wen Po Yao, Jun Chang Zhao, Zheng Zhong Zheng, Tie Bing Liu, Hong Xing Liu, Jun Wang

Keywords:

FECG, Kurtosis, RobustICA, Wavelet Transform (WT)

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