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Author:

Ren, Mingrong (Ren, Mingrong.) | Wang, Chen (Wang, Chen.) | Wang, Pu (Wang, Pu.) | Fang, Bin (Fang, Bin.)

Indexed by:

EI Scopus PKU CSCD

Abstract:

In order to extract fetal electrocardiogram (FECG) from one single cutaneous potential recording of a pregnant woman, we propose a nonlinear local principal component analysis (LPCA) algorithm to extract FECG. Firstly, based on the theory of phase space reconstruction, a scalar sequence of measurements is converted into state vectors. Secondly, for every state vector in local area, PCA is adopted to extract mother ECG (MECG) and FECG. Because of the existence of noise, it is better to adopt PCA for the second time to extract more pure FECG. Simulation results show the effectiveness and robustness of the algorithm.

Keyword:

Principal component analysis Vector spaces Electrocardiography Phase space methods

Author Community:

  • [ 1 ] [Ren, Mingrong]School of Electronic Information and Control Engineering, Beijing University of Technology, Beijing 100124, China
  • [ 2 ] [Wang, Chen]School of Electronic Information and Control Engineering, Beijing University of Technology, Beijing 100124, China
  • [ 3 ] [Wang, Pu]School of Electronic Information and Control Engineering, Beijing University of Technology, Beijing 100124, China
  • [ 4 ] [Fang, Bin]School of Electronic Information and Control Engineering, Beijing University of Technology, Beijing 100124, China

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Source :

Chinese Journal of Scientific Instrument

ISSN: 0254-3087

Year: 2009

Issue: 5

Volume: 30

Page: 1055-1058

Cited Count:

WoS CC Cited Count: 0

SCOPUS Cited Count:

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 9

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