@inproceedings{ad8ad2562a3248a09077c8ffcbc959f3,
title = "Theoretical analysis of sequential adaptive processing for fetal electrocardiograms",
abstract = "Fetal electrocardiograms (ECGs) are useful for monitoring fetal health during pregnancy. Previously published results demonstrated that a sequential combination of adaptive linear prediction (LPC), adaptive noise cancellation (ANC), and IIR comb filtering (CF) is an effective strategy to remove maternal interference from fetal ECGs. This paper presents a theory of how LPC-ANC sequential processing is capable to extract fetal signals from noninvasive abdominal measurements. Results are presented to demonstrate that multi-channel adaptive processing is more effective than signal channel processing. Finally, results illustrate that sequential processing followed by single stage of comb filtering is more effective than direct comb filtering.",
author = "Yuqing Dong and Jenkins, \{W. K.\}",
note = "Publisher Copyright: {\textcopyright} 2015 IEEE.; IEEE International Symposium on Circuits and Systems, ISCAS 2015 ; Conference date: 24-05-2015 Through 27-05-2015",
year = "2015",
month = jul,
day = "27",
doi = "10.1109/ISCAS.2015.7168805",
language = "English (US)",
series = "Proceedings - IEEE International Symposium on Circuits and Systems",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "1002--1005",
booktitle = "2015 IEEE International Symposium on Circuits and Systems, ISCAS 2015",
address = "United States",
}