Adaptive signal processing techniques for extracting fetal electrocardiograms from noninvasive measurements

William Kenneth Jenkins, H. Ding, M. Zenaldin, David Salvia, R. M. Collins

Research output: Chapter in Book/Report/Conference proceedingConference contribution

4 Citations (Scopus)

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.

Original languageEnglish (US)
Title of host publication2014 IEEE 57th International Midwest Symposium on Circuits and Systems, MWSCAS 2014
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages639-642
Number of pages4
ISBN (Electronic)9781479941346, 9781479941346
DOIs
StatePublished - Sep 23 2014
Event2014 IEEE 57th International Midwest Symposium on Circuits and Systems, MWSCAS 2014 - College Station, United States
Duration: Aug 3 2014Aug 6 2014

Publication series

NameMidwest Symposium on Circuits and Systems
ISSN (Print)1548-3746

Other

Other2014 IEEE 57th International Midwest Symposium on Circuits and Systems, MWSCAS 2014
CountryUnited States
CityCollege Station
Period8/3/148/6/14

Fingerprint

Electrocardiography
Signal processing
Fetal monitoring
Comb filters
Adaptive filtering
Digital filters
Medicine
Health

All Science Journal Classification (ASJC) codes

  • Electronic, Optical and Magnetic Materials
  • Electrical and Electronic Engineering

Cite this

Jenkins, W. K., Ding, H., Zenaldin, M., Salvia, D., & Collins, R. M. (2014). Adaptive signal processing techniques for extracting fetal electrocardiograms from noninvasive measurements. In 2014 IEEE 57th International Midwest Symposium on Circuits and Systems, MWSCAS 2014 (pp. 639-642). [6908496] (Midwest Symposium on Circuits and Systems). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/MWSCAS.2014.6908496
Jenkins, William Kenneth ; Ding, H. ; Zenaldin, M. ; Salvia, David ; Collins, R. M. / Adaptive signal processing techniques for extracting fetal electrocardiograms from noninvasive measurements. 2014 IEEE 57th International Midwest Symposium on Circuits and Systems, MWSCAS 2014. Institute of Electrical and Electronics Engineers Inc., 2014. pp. 639-642 (Midwest Symposium on Circuits and Systems).
@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, {William Kenneth} and H. Ding and M. Zenaldin and David Salvia and Collins, {R. M.}",
year = "2014",
month = "9",
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",

}

Jenkins, WK, Ding, H, Zenaldin, M, Salvia, D & Collins, RM 2014, Adaptive signal processing techniques for extracting fetal electrocardiograms from noninvasive measurements. in 2014 IEEE 57th International Midwest Symposium on Circuits and Systems, MWSCAS 2014., 6908496, Midwest Symposium on Circuits and Systems, Institute of Electrical and Electronics Engineers Inc., pp. 639-642, 2014 IEEE 57th International Midwest Symposium on Circuits and Systems, MWSCAS 2014, College Station, United States, 8/3/14. https://doi.org/10.1109/MWSCAS.2014.6908496

Adaptive signal processing techniques for extracting fetal electrocardiograms from noninvasive measurements. / Jenkins, William Kenneth; Ding, H.; Zenaldin, M.; Salvia, David; Collins, R. M.

2014 IEEE 57th International Midwest Symposium on Circuits and Systems, MWSCAS 2014. Institute of Electrical and Electronics Engineers Inc., 2014. p. 639-642 6908496 (Midwest Symposium on Circuits and Systems).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

TY - GEN

T1 - Adaptive signal processing techniques for extracting fetal electrocardiograms from noninvasive measurements

AU - Jenkins, William Kenneth

AU - Ding, H.

AU - Zenaldin, M.

AU - Salvia, David

AU - Collins, R. M.

PY - 2014/9/23

Y1 - 2014/9/23

N2 - 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.

AB - 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.

UR - http://www.scopus.com/inward/record.url?scp=84908475765&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84908475765&partnerID=8YFLogxK

U2 - 10.1109/MWSCAS.2014.6908496

DO - 10.1109/MWSCAS.2014.6908496

M3 - Conference contribution

T3 - Midwest Symposium on Circuits and Systems

SP - 639

EP - 642

BT - 2014 IEEE 57th International Midwest Symposium on Circuits and Systems, MWSCAS 2014

PB - Institute of Electrical and Electronics Engineers Inc.

ER -

Jenkins WK, Ding H, Zenaldin M, Salvia D, Collins RM. Adaptive signal processing techniques for extracting fetal electrocardiograms from noninvasive measurements. In 2014 IEEE 57th International Midwest Symposium on Circuits and Systems, MWSCAS 2014. Institute of Electrical and Electronics Engineers Inc. 2014. p. 639-642. 6908496. (Midwest Symposium on Circuits and Systems). https://doi.org/10.1109/MWSCAS.2014.6908496