Fetus electrocardiogram signal extracting method

Abstract

The invention belongs to the technical field of biomedical signal processing, and particularly relates to a fetus electrocardiogram signal extracting method for extracting fetus electrocardiogram signals from mutually mixed electrocardiogram signals of a maternal body and a fetus. The fetus electrocardiogram signal extracting method comprises the steps that firstly, an electrode of test equipment is put on the abdominal wall of the maternal body, potential difference data caused by electrocardiogram conduction are recorded, multiple sets of data are recorded, and multiple paths of mixed electrocardiogram signals of the maternal body and the fetus are obtained; reference signals of the electrocardiogram signals of the maternal body are built, and then the electrocardiogram signals of the maternal body are extracted from the mixed electrocardiogram signals of the maternal body and the fetus through the reference signals; the components related to the extracted electrocardiogram signals of the maternal body are eliminated from the mixed electrocardiogram signals of the maternal body and the fetus, and therefore the purpose of extracting the fetus electrocardiogram signals is realized. The fetus electrocardiogram signal extracting method can effectively extract the fetus electrocardiogram signals from the mixed electrocardiogram signals of the maternal body and the fetus, is small in calculation amount, is low in complexity, is less dependent on parameters, is clear in extracted signals, and realizes the expectant purpose.

Description

technical field [0001] The invention belongs to the technical field of biomedical signal processing, and in particular relates to a fetal electrocardiographic signal extraction method for extracting fetal electrocardiographic signals from mutually aliased maternal-fetal mixed electrocardiographic signals. Background technique [0002] Fetal ECG signal is an important objective indicator for the study of fetal heart physiological activity, which reflects the growth and health status of the fetus in the mother's body. Therefore, separating or extracting clear fetal ECG signals has become a very meaningful work. [0003] Some current methods focus on the extraction of fetal ECG signals by using blind source separation. The existing methods mainly use the prior information of the fetal ECG signal to construct the corresponding reference signal, and then use the blind source separation algorithm based on gradient or negentropy to separate and extract the fetal ECG signal. This t...

AI Technical Summary

Problems solved by technology

This type of method can get a good separation effect when the reference signal is selected properly. However, the fetal ECG signal is weaker than the maternal ECG signal, so it is difficult to obtain an appropriate reference signal for the fetal ECG signal.

At the same time, when using the blind source separation algorithm, repeated iterations are required, and appropriate parameters need to be selected, otherwise the extraction effect will be affected

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