Theoretical analysis of sequential adaptive processing for fetal electrocardiograms

Yuqing Dong; W. K. Jenkins

doi:10.1109/ISCAS.2015.7168805

Theoretical analysis of sequential adaptive processing for fetal electrocardiograms

Yuqing Dong, W. K. Jenkins

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

4 Scopus citations

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.

Original language	English (US)
Title of host publication	2015 IEEE International Symposium on Circuits and Systems, ISCAS 2015
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	1002-1005
Number of pages	4
ISBN (Electronic)	9781479983919
DOIs	https://doi.org/10.1109/ISCAS.2015.7168805
State	Published - Jul 27 2015
Event	IEEE International Symposium on Circuits and Systems, ISCAS 2015 - Lisbon, Portugal Duration: May 24 2015 → May 27 2015

Publication series

Name	Proceedings - IEEE International Symposium on Circuits and Systems
Volume	2015-July
ISSN (Print)	0271-4310

Other

Other	IEEE International Symposium on Circuits and Systems, ISCAS 2015
Country/Territory	Portugal
City	Lisbon
Period	5/24/15 → 5/27/15

All Science Journal Classification (ASJC) codes

Electrical and Electronic Engineering

Access to Document

10.1109/ISCAS.2015.7168805

Cite this

Dong, Y., & Jenkins, W. K. (2015). Theoretical analysis of sequential adaptive processing for fetal electrocardiograms. In 2015 IEEE International Symposium on Circuits and Systems, ISCAS 2015 (pp. 1002-1005). Article 7168805 (Proceedings - IEEE International Symposium on Circuits and Systems; Vol. 2015-July). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ISCAS.2015.7168805

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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.",

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booktitle = "2015 IEEE International Symposium on Circuits and Systems, ISCAS 2015",

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Dong, Y & Jenkins, WK 2015, Theoretical analysis of sequential adaptive processing for fetal electrocardiograms. in 2015 IEEE International Symposium on Circuits and Systems, ISCAS 2015., 7168805, Proceedings - IEEE International Symposium on Circuits and Systems, vol. 2015-July, Institute of Electrical and Electronics Engineers Inc., pp. 1002-1005, IEEE International Symposium on Circuits and Systems, ISCAS 2015, Lisbon, Portugal, 5/24/15. https://doi.org/10.1109/ISCAS.2015.7168805

Theoretical analysis of sequential adaptive processing for fetal electrocardiograms. / Dong, Yuqing; Jenkins, W. K.
2015 IEEE International Symposium on Circuits and Systems, ISCAS 2015. Institute of Electrical and Electronics Engineers Inc., 2015. p. 1002-1005 7168805 (Proceedings - IEEE International Symposium on Circuits and Systems; Vol. 2015-July).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

TY - GEN

T1 - Theoretical analysis of sequential adaptive processing for fetal electrocardiograms

AU - Dong, Yuqing

AU - Jenkins, W. K.

PY - 2015/7/27

Y1 - 2015/7/27

N2 - 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.

AB - 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.

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SP - 1002

EP - 1005

BT - 2015 IEEE International Symposium on Circuits and Systems, ISCAS 2015

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - IEEE International Symposium on Circuits and Systems, ISCAS 2015

Y2 - 24 May 2015 through 27 May 2015

ER -

Theoretical analysis of sequential adaptive processing for fetal electrocardiograms

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