Dispersion Entropy: A Measure of Electrohysterographic Complexity for Preterm Labor Discrimination

Félix Nieto-del-Amor, Yiyao Ye-Lin, Javier Garcia-Casado, A. Diaz-Martinez, María González Martínez, R. Monfort-Ortiz, Gema Prats-Boluda

2021

Abstract

Although preterm labor is a major cause of neonatal death and often leaves health sequels in the survivors, there are no accurate and reliable clinical tools for preterm labor prediction. The Electrohysterogram (EHG) has arisen as a promising alternative that provides relevant information on uterine activity that could be useful in predicting preterm labor. In this work, we optimized and assessed the performance of the Dispersion Entropy (DispEn) metric and compared it to conventional Sample Entropy (SampEn) in EHG recordings to discriminate term from preterm deliveries. For this, we used the two public databases TPEHG and TPEHGT DS of EHG recordings collected from women during regular checkups. The 10th, 50th and 90th percentiles of entropy metrics were computed on whole (WBW) and fast wave high (FWH) EHG bandwidths, sweeping the DispEn and SampEn internal parameters to optimize term/preterm discrimination. The results revealed that for both the FWH and WBW bandwidths the best separability was reached when computing the 10th percentile, achieving a p-value (0.00007) for DispEn in FWH, c = 7 and m = 2, associated with lower complexity preterm deliveries, indicating that DispEn is a promising parameter for preterm labor prediction.

Paper Citation

in Harvard Style

Nieto-del-Amor F., Ye-Lin Y., Garcia-Casado J., Diaz-Martinez A., Martínez M., Monfort-Ortiz R. and Prats-Boluda G. (2021). Dispersion Entropy: A Measure of Electrohysterographic Complexity for Preterm Labor Discrimination. In Proceedings of the 14th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2021) - Volume 4: BIOSIGNALS; ISBN 978-989-758-490-9, SciTePress, pages 260-267. DOI: 10.5220/0010316600002865

in Bibtex Style

@conference{biosignals21,
author={Félix Nieto-del-Amor and Yiyao Ye-Lin and Javier Garcia-Casado and A. Diaz-Martinez and María González Martínez and R. Monfort-Ortiz and Gema Prats-Boluda},
title={Dispersion Entropy: A Measure of Electrohysterographic Complexity for Preterm Labor Discrimination},
booktitle={Proceedings of the 14th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2021) - Volume 4: BIOSIGNALS},
year={2021},
pages={260-267},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010316600002865},
isbn={978-989-758-490-9},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 14th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2021) - Volume 4: BIOSIGNALS
TI - Dispersion Entropy: A Measure of Electrohysterographic Complexity for Preterm Labor Discrimination
SN - 978-989-758-490-9
AU - Nieto-del-Amor F.
AU - Ye-Lin Y.
AU - Garcia-Casado J.
AU - Diaz-Martinez A.
AU - Martínez M.
AU - Monfort-Ortiz R.
AU - Prats-Boluda G.
PY - 2021
SP - 260
EP - 267
DO - 10.5220/0010316600002865
PB - SciTePress