@inproceedings{a3de3727ac604b08a7ba53caf6b8d2f5,
title = "Adaptive signal processing techniques for extracting fetal electrocardiograms from noninvasive measurements",
abstract = "In clinical medicine fetal electrocardiograms (ECGs) are useful for monitoring fetal health during pregnancy. This research investigates a variety of adaptive filtering techniques to remove maternal interference from fetal ECGs and to determine which techniques are most effective under varying circumstances. Experimental results suggest that a sequential combination of adaptive linear prediction coding (LPC), adaptive noise cancellation (ANC), and IIR comb filtering provides an effective strategy to remove maternal interference from fetal ECGs. It is shown how digital comb filters can be used effectively to separate maternal and fetal signal components based on distinct spectral content of the two signals.",
author = "Jenkins, {W. K.} and H. Ding and M. Zenaldin and Salvia, {A. D.} and Collins, {R. M.}",
note = "Publisher Copyright: {\textcopyright} 2014 IEEE.; 2014 IEEE 57th International Midwest Symposium on Circuits and Systems, MWSCAS 2014 ; Conference date: 03-08-2014 Through 06-08-2014",
year = "2014",
month = sep,
day = "23",
doi = "10.1109/MWSCAS.2014.6908496",
language = "English (US)",
series = "Midwest Symposium on Circuits and Systems",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "639--642",
booktitle = "2014 IEEE 57th International Midwest Symposium on Circuits and Systems, MWSCAS 2014",
address = "United States",
}