Fetal Electrocardiogram Extraction and Analysis
نویسندگان
چکیده
منابع مشابه
INTELLIGENT TECHNIQUE OF CANCELING MATERNAL ECG IN FECG EXTRACTION
In this paper, we propose a technique of artificial intelligence called adaptive neuro fuzzy inference system (ANFIS) for canceling maternal electrocardiogram (MECG) in fetal electrocardiogram extraction (FECG).This technique is used to estimate the MECG present in the abdominal signal of a pregnant woman. The FECG is then extracted by subtracting the estimated MECG from the abdominal signal. P...
متن کاملFetal Electrocardiogram Extraction by Source Subspace Separation Proceedings Ieee Sp / Athos Workshop on Higher-order Statistics Fetal Electrocardiogram Extraction by Source Subspace Separation
A high-precision method is presented for the extraction of the fetal electrocardiogram from multi-channel potential recordings on the mother's skin. First the problem is appropriately formulated in terms of blind source separation, where the sources can have a multi-dimensional nature. As a summary of preceding work it is shown how the fetal electrocardiogram can be reconstructed by means of se...
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The fetal electrocardiogram (fECG) monitoring yields important information about the fetus condition during pregnancy and it consists in collecting electrical signals by some sensors on the body of the mother. The Independent Component Analysis (ICA) has been widely exploited to isolate the fECG, while wavelet transform has been used as post-processing tool. Here we propose to fit the recently ...
متن کاملExtraction of temporally correlated sources with its application to non-invasive fetal electrocardiogram extraction
This letter addresses the problem of fetal electrocardiogram (FECG) extraction. A class of source extraction algorithms is proposed, which uses a combination of two different approaches: Barros’s source extraction approach and Hyvärinen’s fixedpoint approach. The proposed algorithms can rapidly extract the desired FECG with little noise, and can work well in some bad situations. The validity an...
متن کاملSensor Array and Electrode Selection for Non-invasive Fetal Electrocardiogram Extraction by Independent Component Analysis
Recently, non-invasive techniques to measure the fetal electrocardiogram (FECG) signal have given very promising results. However, the important question of the number and the location of the external sensors has been often discarded. In this paper, an electrode-array approach is proposed; it is combined with a sensor selection algorithm using a mutual information criterion. The sensor selectio...
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