Adaptive Filter Design for Extraction of Fetus ECG Signal

Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 380)


The fetal ECG is a useful tool in the assessment of condition of fetus heart before and during labor time and also contains more information than sonography. Early detection of fetal heart defect helps the selection of appropriate treatment before and during pregnancy. FECG signal obtained by non-invasive method is affected from the background noise and MECG interference as FECG signal is weak relative to MECG signal and competing noise. This interference produced by MECG signal and other artifacts can be canceled by application of adaptive filters using LMS and RLS algorithms. In this paper, we have purposed an adaptive filter algorithm which has shown better results than standard LMS algorithm for the detection of Fetus ECG Signal.




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Copyright information

© Springer India 2016

Authors and Affiliations

  1. 1.Department of PhysicsS.L.I.E.T.SangrurIndia
  2. 2.Department of Electronics and CommunicationG.N.D.U.AmritsarIndia
  3. 3.Department of Electronics and CommunicationG.N.D.U.AmritsarIndia

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