Title :
Maternal ECG removal from non-invasive fetal ECG recordings
Author :
Vullings, Rik ; Peters, Chris ; Mischi, Massimo ; Oei, Guid ; Bergmans, Jan
Author_Institution :
Fac. of Electr. Eng., Eindhoven Univ. of Technol.
fDate :
Aug. 30 2006-Sept. 3 2006
Abstract :
Fetal monitoring during pregnancy is important to support medical decision making. The fetal electrocardiogram (fECG) is a valuable signal to diagnose fetal well-being. Non-invasive recording of the fECG is performed by positioning electrodes on the maternal abdomen. The signal to noise ratio of these recordings is relatively low and the main undesired signal is the maternal electrocardiogram (mECG). Existing methods to remove the mECG signal are not sufficiently accurate to extract the complete fECG signal. In this paper, a novel method for removal of the mECG signal from abdominal recordings is presented. It is an extension of the linear prediction method. Each mECG complex is segmented and these segments are separately estimated by linear prediction. Both the presented method and the standard linear prediction are applied to simulated abdominal recordings and evaluated by determining the rms errors between the estimated and the actual fECG signals. The ratio between the rms errors of the linear prediction method and the presented method varies between 0.4 dB and 2.3 dB. It can therefore be concluded that the presented method is capable of a more accurate removal of the mECG signal for all simulated abdominal recordings with respect to the linear prediction method
Keywords :
electrocardiography; medical signal processing; obstetrics; fECG; fetal electrocardiogram; fetal monitoring; linear prediction method; maternal ECG removal; maternal abdomen; medical decision making; noninvasive fetal ECG recording; pregnancy; rms error; signal-to-noise ratio; Abdomen; Biomedical electrodes; Biomedical monitoring; Decision making; Electrocardiography; Medical diagnostic imaging; Prediction methods; Predictive models; Pregnancy; Signal to noise ratio;
Conference_Titel :
Engineering in Medicine and Biology Society, 2006. EMBS '06. 28th Annual International Conference of the IEEE
Conference_Location :
New York, NY
Print_ISBN :
1-4244-0032-5
Electronic_ISBN :
1557-170X
DOI :
10.1109/IEMBS.2006.259675