Experimental evaluations of sequential adaptive processing for fetal electrocardiograms (ECGs)

Z. Yao; Y. Dong; W. K. Jenkins

doi:10.1109/ACSSC.2015.7421238

Experimental evaluations of sequential adaptive processing for fetal electrocardiograms (ECGs)

Z. Yao, Y. Dong, W. K. Jenkins

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

2 Scopus citations

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.

Original language	English (US)
Title of host publication	Conference Record of the 49th Asilomar Conference on Signals, Systems and Computers, ACSSC 2015
Publisher	IEEE Computer Society
Pages	770-774
Number of pages	5
Volume	2016-February
ISBN (Electronic)	9781467385763
DOIs	https://doi.org/10.1109/ACSSC.2015.7421238
State	Published - Feb 26 2016
Event	49th Asilomar Conference on Signals, Systems and Computers, ACSSC 2015 - Pacific Grove, United States Duration: Nov 8 2015 → Nov 11 2015

Other

Other	49th Asilomar Conference on Signals, Systems and Computers, ACSSC 2015
Country/Territory	United States
City	Pacific Grove
Period	11/8/15 → 11/11/15

All Science Journal Classification (ASJC) codes

Computer Networks and Communications
Signal Processing

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10.1109/ACSSC.2015.7421238

Cite this

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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.",

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doi = "10.1109/ACSSC.2015.7421238",

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booktitle = "Conference Record of the 49th Asilomar Conference on Signals, Systems and Computers, ACSSC 2015",

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note = "49th Asilomar Conference on Signals, Systems and Computers, ACSSC 2015 ; Conference date: 08-11-2015 Through 11-11-2015",

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Yao, Z, Dong, Y & Jenkins, WK 2016, Experimental evaluations of sequential adaptive processing for fetal electrocardiograms (ECGs). in Conference Record of the 49th Asilomar Conference on Signals, Systems and Computers, ACSSC 2015. vol. 2016-February, 7421238, IEEE Computer Society, pp. 770-774, 49th Asilomar Conference on Signals, Systems and Computers, ACSSC 2015, Pacific Grove, United States, 11/8/15. https://doi.org/10.1109/ACSSC.2015.7421238

Experimental evaluations of sequential adaptive processing for fetal electrocardiograms (ECGs). / Yao, Z.; Dong, Y.; Jenkins, W. K.
Conference Record of the 49th Asilomar Conference on Signals, Systems and Computers, ACSSC 2015. Vol. 2016-February IEEE Computer Society, 2016. p. 770-774 7421238.

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

TY - GEN

T1 - Experimental evaluations of sequential adaptive processing for fetal electrocardiograms (ECGs)

AU - Yao, Z.

AU - Dong, Y.

AU - Jenkins, W. K.

PY - 2016/2/26

Y1 - 2016/2/26

N2 - 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.

AB - 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.

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BT - Conference Record of the 49th Asilomar Conference on Signals, Systems and Computers, ACSSC 2015

PB - IEEE Computer Society

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Y2 - 8 November 2015 through 11 November 2015

ER -

Experimental evaluations of sequential adaptive processing for fetal electrocardiograms (ECGs)

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