Estimating fetal gestational age using cardiac valve intervals

Faezeh Marzbanrad; Ahsan H. Khandoker; Yoshitaka Kimura; Marimuthu Palaniswami; Gari D. Clifford

doi:10.22489/cinc.2016.035-146

Estimating fetal gestational age using cardiac valve intervals

Faezeh Marzbanrad, Ahsan H. Khandoker, Yoshitaka Kimura, Marimuthu Palaniswami, Gari D. Clifford

MED - Disability Science

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

6 Citations (Scopus)

Abstract

A new automated method for estimation of the gestational age is presented in this paper based on the intervals between fetal cardiac valve timings and the Q-wave of fetal electrocardiogram (fECG). The intervals were estimated automatically from one-dimensional Doppler Ultrasound and noninvasive fECG. Among the intervals, Isovolumic Contraction Time, Electromechanical Delay Time, Ventricular Filling Time and their interactions were selected in a stepwise regression process. Compared with Crown-Rump Length as gold standard, a mean absolute error of 3.8 weeks was obtained using leave-one-out cross validation. This method also outperformed a fetal heart rate based approach. Since valve intervals reflect the autonomic function, this method provides a novel measure ofthe development of fetal autonomic nervous system that may be growth curve independent.

Original language	English
Title of host publication	Computing in Cardiology Conference, CinC 2016
Editors	Alan Murray
Publisher	IEEE Computer Society
Pages	109-112
Number of pages	4
ISBN (Electronic)	9781509008964
DOIs	https://doi.org/10.22489/cinc.2016.035-146
Publication status	Published - 2016 Mar 1
Event	43rd Computing in Cardiology Conference, CinC 2016 - Vancouver, Canada Duration: 2016 Sept 11 → 2016 Sept 14

Publication series

Name	Computing in Cardiology
Volume	43
ISSN (Print)	2325-8861
ISSN (Electronic)	2325-887X

Other

Other	43rd Computing in Cardiology Conference, CinC 2016
Country/Territory	Canada
City	Vancouver
Period	16/9/11 → 16/9/14

ASJC Scopus subject areas

Computer Science(all)
Cardiology and Cardiovascular Medicine

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10.22489/cinc.2016.035-146

Cite this

Estimating fetal gestational age using cardiac valve intervals. / Marzbanrad, Faezeh; Khandoker, Ahsan H.; Kimura, Yoshitaka et al.
Computing in Cardiology Conference, CinC 2016. ed. / Alan Murray. IEEE Computer Society, 2016. p. 109-112 7868691 (Computing in Cardiology; Vol. 43).

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

Marzbanrad, F, Khandoker, AH, Kimura, Y, Palaniswami, M & Clifford, GD 2016, Estimating fetal gestational age using cardiac valve intervals. in A Murray (ed.), Computing in Cardiology Conference, CinC 2016., 7868691, Computing in Cardiology, vol. 43, IEEE Computer Society, pp. 109-112, 43rd Computing in Cardiology Conference, CinC 2016, Vancouver, Canada, 16/9/11. https://doi.org/10.22489/cinc.2016.035-146

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abstract = "A new automated method for estimation of the gestational age is presented in this paper based on the intervals between fetal cardiac valve timings and the Q-wave of fetal electrocardiogram (fECG). The intervals were estimated automatically from one-dimensional Doppler Ultrasound and noninvasive fECG. Among the intervals, Isovolumic Contraction Time, Electromechanical Delay Time, Ventricular Filling Time and their interactions were selected in a stepwise regression process. Compared with Crown-Rump Length as gold standard, a mean absolute error of 3.8 weeks was obtained using leave-one-out cross validation. This method also outperformed a fetal heart rate based approach. Since valve intervals reflect the autonomic function, this method provides a novel measure ofthe development of fetal autonomic nervous system that may be growth curve independent.",

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Estimating fetal gestational age using cardiac valve intervals

Abstract

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ASJC Scopus subject areas

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