The Fetal Electrocardiogram by Independent Component Analysis and Wavelets
نویسندگان
چکیده
منابع مشابه
Sensor 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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Fetal electrocardiogram (FECG) extraction is very important procedure for fetal health assessment. In this article, we propose a fast one-unit independent component analysis with reference (ICA-R) that is suitable to extract the FECG. Most previous ICA-R algorithms only focused on how to optimize the cost function of the ICA-R and payed little attention to the improvement of cost function. They...
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An electrocardiogram (ECG) signal contains the electrical activity generated by the contraction of heart muscles. An ECG signal can provide a lot of information about an individual's heart condition and health. That being said, principles of ECG analysis can also be applied to the electrocardiogram of a fetus (FECG) in order to accurately monitor heart development and health during the differen...
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Beat detection is a basic and fundamental step in electrocardiogram (ECG) processing. In many ECG applications strong artifacts from biological or technical sources could appear and cause distortion of ECG signals. Beat detection algorithm desired property is to avoid these distortions and detect beats in any situation. Our developed method is an extension of Christov's beat detection algorithm...
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ژورنال
عنوان ژورنال: The Japanese Journal of Physiology
سال: 2004
ISSN: 0021-521X
DOI: 10.2170/jjphysiol.54.457