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Author

Liu Tiebing

Bio: Liu Tiebing is an academic researcher. The author has co-authored 1 publications.

Papers
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Patent
19 Apr 2019
TL;DR: In this paper, a method for detecting the maternal electrocardiogram R peak on single-channel pregnant woman's abdominal wall myoelectricity signal is presented. But the method is characterized in that the Gaussian dictionary obtained in the step 3 is composed of Gaussian atoms corresponding to maternal EEG components, Gaussian nodes corresponding to fetal EEG components and Gaussian node corresponding to noise components.
Abstract: The invention provides a method for detecting the maternal electrocardiogram R peak on single-channel pregnant woman's abdominal wall myoelectricity. The method comprises the steps that 1, one-channelpregnant woman's abdominal wall myoelectricity signal is read; 2, the maternal electrocardiogram R peak on the abdominal wall myoelectricity signal is initially detected or pre-detected; 3, accordingto an initial detection result, an adaptive Gaussian dictionary is constructed, and based on the constructed adaptive Gaussian dictionary, enhancement of the maternal electrocardiogram R peak is achieved through sparse representation; 4, the R peak is detected on a maternal electrocardiogram R peak enhancement signal, and the position of the R peak is output. The method is characterized in that the Gaussian dictionary obtained in the step 3 is composed of Gaussian atoms corresponding to maternal electrocardiogram components, Gaussian atoms corresponding to fetal electrocardiogram components,and Gaussian atoms corresponding to noise components, wherein the Gaussian atoms corresponding to the maternal electrocardiogram components only involves one scale, and the scale is obtained through optimization according to the conditions of the maternal electrocardiogram R peak obtained through initial detection of the abdominal wall myoelectricity signal.