Selective heart rate variability analysis to account for uterine activity during labor and improve classification of fetal distress

G.J.J. Warmerdam; R. Vullings; J.O.E.H. Van Laar; M.B.  Van Der Hout-Van Der Jagt; J.W.M. Bergmans; L. (Lars) Schmitt; S.G. Oei

doi:10.1109/EMBC.2016.7591348

Selective heart rate variability analysis to account for uterine activity during labor and improve classification of fetal distress

G.J.J. Warmerdam, R. Vullings, J.O.E.H. Van Laar, M.B. Van Der Hout-Van Der Jagt, J.W.M. Bergmans, L. (Lars) Schmitt, S.G. Oei

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

3 Citations (Scopus)

1 Downloads (Pure)

Abstract

Cardiotocography (CTG) is currently the most often used technique for detection of fetal distress. Unfortunately, CTG has a poor specificity. Recent studies suggest that, in addition to CTG, information on fetal distress can be obtained from analysis of fetal heart rate variability (HRV). However, uterine contractions can strongly influence fetal HRV. The aim of this study is therefore to investigate whether HRV analysis for detection of fetal distress can be improved by distinguishing contractions from rest periods. Our results from feature selection indicate that HRV features calculated separately during contractions or during rest periods are more informative on fetal distress than HRV features that are calculated over the entire fetal heart rate. Furthermore, classification performance improved from a geometric mean of 69.0% to 79.6% when including the contraction-dependent HRV features, in addition to HRV features calculated over the entire fetal heart rate.

Original language	English
Title of host publication	2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2016, 16-18 August 2016, Orlando, Florida
Place of Publication	Piscataway
Publisher	Institute of Electrical and Electronics Engineers
Pages	2950-2953
Number of pages	4
ISBN (Electronic)	978-1-4577-0220-4
ISBN (Print)	978-1-4577-0219-8
DOIs	https://doi.org/10.1109/EMBC.2016.7591348
Publication status	Published - 13 Oct 2016
Event	38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC 2016) - Disney’s Contemporary Resort , Orlando, United States Duration: 16 Aug 2016 → 20 Aug 2016 Conference number: 38 http://embc.embs.org/2016/

Conference

Conference	38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC 2016)
Abbreviated title	EMBC 2016
Country	United States
City	Orlando
Period	16/08/16 → 20/08/16
Internet address	http://embc.embs.org/2016/

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10.1109/EMBC.2016.7591348

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1 Finished

Impuls I - Health - Perinatal Monitoring - TU/e funded
1/01/15 → 31/12/20
Project: Research indirect

Perinatal Medicine
M.B. (Beatrijs) van der Hout-van der Jagt (Content manager) & Eugenie Delvaux (Content manager)
Impact: Research Topic/Theme (at group level)

Cite this

Warmerdam, G. J. J., Vullings, R., Van Laar, J. O. E. H., Van Der Hout-Van Der Jagt, M. B., Bergmans, J. W. M., Schmitt, L. L., & Oei, S. G. (2016). Selective heart rate variability analysis to account for uterine activity during labor and improve classification of fetal distress. In 2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2016, 16-18 August 2016, Orlando, Florida (pp. 2950-2953). [7591348] Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/EMBC.2016.7591348

Warmerdam, G.J.J. ; Vullings, R. ; Van Laar, J.O.E.H. ; Van Der Hout-Van Der Jagt, M.B. ; Bergmans, J.W.M. ; Schmitt, L. (Lars) ; Oei, S.G. / Selective heart rate variability analysis to account for uterine activity during labor and improve classification of fetal distress. 2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2016, 16-18 August 2016, Orlando, Florida. Piscataway : Institute of Electrical and Electronics Engineers, 2016. pp. 2950-2953

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abstract = "Cardiotocography (CTG) is currently the most often used technique for detection of fetal distress. Unfortunately, CTG has a poor specificity. Recent studies suggest that, in addition to CTG, information on fetal distress can be obtained from analysis of fetal heart rate variability (HRV). However, uterine contractions can strongly influence fetal HRV. The aim of this study is therefore to investigate whether HRV analysis for detection of fetal distress can be improved by distinguishing contractions from rest periods. Our results from feature selection indicate that HRV features calculated separately during contractions or during rest periods are more informative on fetal distress than HRV features that are calculated over the entire fetal heart rate. Furthermore, classification performance improved from a geometric mean of 69.0% to 79.6% when including the contraction-dependent HRV features, in addition to HRV features calculated over the entire fetal heart rate.",

author = "G.J.J. Warmerdam and R. Vullings and {Van Laar}, J.O.E.H. and {Van Der Hout-Van Der Jagt}, M.B. and J.W.M. Bergmans and Schmitt, {L. (Lars)} and S.G. Oei",

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Warmerdam, GJJ, Vullings, R , Van Laar, JOEH , Van Der Hout-Van Der Jagt, MB , Bergmans, JWM, Schmitt, LL & Oei, SG 2016, Selective heart rate variability analysis to account for uterine activity during labor and improve classification of fetal distress. in 2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2016, 16-18 August 2016, Orlando, Florida., 7591348, Institute of Electrical and Electronics Engineers, Piscataway, pp. 2950-2953, 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC 2016), Orlando, United States, 16/08/16. https://doi.org/10.1109/EMBC.2016.7591348

Selective heart rate variability analysis to account for uterine activity during labor and improve classification of fetal distress. / Warmerdam, G.J.J.; Vullings, R.; Van Laar, J.O.E.H.; Van Der Hout-Van Der Jagt, M.B. ; Bergmans, J.W.M.; Schmitt, L. (Lars); Oei, S.G.

2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2016, 16-18 August 2016, Orlando, Florida. Piscataway : Institute of Electrical and Electronics Engineers, 2016. p. 2950-2953 7591348.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

TY - GEN

T1 - Selective heart rate variability analysis to account for uterine activity during labor and improve classification of fetal distress

AU - Warmerdam, G.J.J.

AU - Vullings, R.

AU - Van Laar, J.O.E.H.

AU - Van Der Hout-Van Der Jagt, M.B.

AU - Bergmans, J.W.M.

AU - Schmitt, L. (Lars)

AU - Oei, S.G.

N1 - Conference code: 38

PY - 2016/10/13

Y1 - 2016/10/13

N2 - Cardiotocography (CTG) is currently the most often used technique for detection of fetal distress. Unfortunately, CTG has a poor specificity. Recent studies suggest that, in addition to CTG, information on fetal distress can be obtained from analysis of fetal heart rate variability (HRV). However, uterine contractions can strongly influence fetal HRV. The aim of this study is therefore to investigate whether HRV analysis for detection of fetal distress can be improved by distinguishing contractions from rest periods. Our results from feature selection indicate that HRV features calculated separately during contractions or during rest periods are more informative on fetal distress than HRV features that are calculated over the entire fetal heart rate. Furthermore, classification performance improved from a geometric mean of 69.0% to 79.6% when including the contraction-dependent HRV features, in addition to HRV features calculated over the entire fetal heart rate.

AB - Cardiotocography (CTG) is currently the most often used technique for detection of fetal distress. Unfortunately, CTG has a poor specificity. Recent studies suggest that, in addition to CTG, information on fetal distress can be obtained from analysis of fetal heart rate variability (HRV). However, uterine contractions can strongly influence fetal HRV. The aim of this study is therefore to investigate whether HRV analysis for detection of fetal distress can be improved by distinguishing contractions from rest periods. Our results from feature selection indicate that HRV features calculated separately during contractions or during rest periods are more informative on fetal distress than HRV features that are calculated over the entire fetal heart rate. Furthermore, classification performance improved from a geometric mean of 69.0% to 79.6% when including the contraction-dependent HRV features, in addition to HRV features calculated over the entire fetal heart rate.

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BT - 2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2016, 16-18 August 2016, Orlando, Florida

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T2 - 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC 2016)

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ER -

Warmerdam GJJ, Vullings R , Van Laar JOEH , Van Der Hout-Van Der Jagt MB , Bergmans JWM, Schmitt LL et al. Selective heart rate variability analysis to account for uterine activity during labor and improve classification of fetal distress. In 2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2016, 16-18 August 2016, Orlando, Florida. Piscataway: Institute of Electrical and Electronics Engineers. 2016. p. 2950-2953. 7591348 https://doi.org/10.1109/EMBC.2016.7591348

Selective heart rate variability analysis to account for uterine activity during labor and improve classification of fetal distress

Abstract

Conference

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Impuls I - Health - Perinatal Monitoring - TU/e funded

Perinatal Medicine

Cite this