Abstract
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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Singh, R., Singh, A., Kaur, J. (2016). Adaptive Filter Design for Extraction of Fetus ECG Signal. In: Satapathy, S., Raju, K., Mandal, J., Bhateja, V. (eds) Proceedings of the Second International Conference on Computer and Communication Technologies. Advances in Intelligent Systems and Computing, vol 380. Springer, New Delhi. https://doi.org/10.1007/978-81-322-2523-2_10
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DOI: https://doi.org/10.1007/978-81-322-2523-2_10
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