A new approach based on wavelet-ICA algorithms for fetal electrocardiogram extraction
نویسندگان
چکیده
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 developed Wavelet-ICA method, based on the joint use of Wavelet Analysis and ICA, to fECG extraction, in order to improve the extraction performance. We also show a comparison with other techniques and we discuss the advantages of the proposed method.
منابع مشابه
Fetal Electrocardiogram Extraction and Performance Analysis
In biomedical engineering, to extract the fetal electrocardiogram (FECG) exactly is a significant and challenging research topic, and so it has been a hot field in biomedical research. Now, a variety of different methods have been proposed to address this problem. From the perspective of blind signal processing, FECG extraction can be modeled as Blind source separation (BSS). In this paper, we ...
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