Maternal ECG removal from non-invasive fetal ECG recordings.

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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
Original languageEnglish
Title of host publicationProceedings of the 28th Annual International Conference of the IEEE Engineering in Medicine and Biology Society 2006, EMBS'06, 30 August - 3 September 2006, New York, USA
Place of PublicationPiscataway
PublisherInstitute of Electrical and Electronics Engineers
Pages1394-1397
ISBN (Print)1-4244-0032-5
DOIs
Publication statusPublished - 2010

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    Vullings, R., Peters, C. H. L., Mischi, M., Oei, S. G., & Bergmans, J. W. M. (2010). Maternal ECG removal from non-invasive fetal ECG recordings. In Proceedings of the 28th Annual International Conference of the IEEE Engineering in Medicine and Biology Society 2006, EMBS'06, 30 August - 3 September 2006, New York, USA (pp. 1394-1397). Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/IEMBS.2006.259675