@inproceedings{c94a2d5fa76d42b0857e3c340467ce30,
title = "Experimental evaluations of sequential adaptive processing for fetal electrocardiograms (ECGs)",
abstract = "Previously published results demonstrated that a sequential combination of adaptive linear prediction (LPC), adaptive noise cancellation (ANC), and IIR comb filtering (CF) can effectively remove maternal interference from noninvasive fetal ECGs. This paper presents experimental results to show how LPC-ANC sequential processing can extract fetal signals from noninvasive abdominal measurements. Experimental results demonstrate how various combinations of time-domain and transform-domain adaptive filters can effectively extract the fetal component from noninvasive abdominal fetal ECG's. Experimental results also illustrate that sequential processing followed by single stage comb filtering and newly proposed adaptive comb filtering is an effective form of sequential processing.",
author = "Z. Yao and Y. Dong and Jenkins, \{W. K.\}",
note = "Publisher Copyright: {\textcopyright} 2015 IEEE.; 49th Asilomar Conference on Signals, Systems and Computers, ACSSC 2015 ; Conference date: 08-11-2015 Through 11-11-2015",
year = "2016",
month = feb,
day = "26",
doi = "10.1109/ACSSC.2015.7421238",
language = "English (US)",
series = "Conference Record - Asilomar Conference on Signals, Systems and Computers",
publisher = "IEEE Computer Society",
pages = "770--774",
editor = "Matthews, \{Michael B.\}",
booktitle = "Conference Record of the 49th Asilomar Conference on Signals, Systems and Computers, ACSSC 2015",
address = "United States",
}