|Table of Contents|

Comparative Study on Adaptive Filters for Fetal Electrocardiogram Extraction

《南京理工大学学报》(自然科学版)[ISSN:1005-9830/CN:32-1397/N]

Issue:
2011年06期
Page:
847-852
Research Field:
Publishing date:

Info

Title:
Comparative Study on Adaptive Filters for Fetal Electrocardiogram Extraction
Author(s):
XU XinMA Qian-liZHU Xu
College of Geography and Biological Information,Nanjing University of Posts and Telecommunications, Nanjing 210046,China
Keywords:
fetal electrocardiogram adaptive filter least mean square algorithm recursive least
PACS:
TN911. 72
DOI:
-
Abstract:
In order to improve the accuracy and efficiency of fetal electrocardiogram( FECG) extraction, the speed and accuracy of four kinds of adaptive filters using least mean square algorithm, recursive least squares( RLS) algorithm,affine projection algorithm and energy normalized least mean square algorithm respectively for FECG extraction are studied. The influencing factors of the convergence rates and steady-state performances of the four kinds of adaptive filters are simulated and analyzed according to the FECG exaction algorithm designed on MATLAB. A comparative study on the four kinds of adaptive filters is done by adjusting and optimizing the parameters of the FECG extraction. The results indicate that the RLS adaptive filter has the best performance,a nd can extract FECG from maternal electrocardiogram fast and accurately.

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Last Update: 2012-10-25