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Author:

Nieto-del-Amor, F. (Nieto-del-Amor, F..) | Prats-Boluda, G. (Prats-Boluda, G..) | Li, W. (Li, W..) | Martinez-de-Juan, J.L. (Martinez-de-Juan, J.L..) | Yang, L. (Yang, L..) | Yang, Y. (Yang, Y..) | Hao, D. (Hao, D..) | Ye-Lin, Y. (Ye-Lin, Y..)

Indexed by:

EI Scopus SCIE

Abstract:

Electrohysterography has been shown to provide relevant information on preventing preterm labor. Recent studies have confirmed the feasibility of using the vectormyometriogram (VMG) to assess uterine myoelectric vector displacement, with different physiological implications for the slow and fast waves, without suggesting its implementation in clinical practice. The fast wave VMG component has dynamic behavior in any specific direction on the X-Y plane. Since recurrence is a common feature of dynamic systems, we aimed to determine the recurrence pattern of uterine vector displacement, exploring its clinical potential in detecting imminent and preterm labor in women with threatened preterm labor and a serious preterm birth risk. For this, we analyzed the recurrence patterns from a 2D-vectormyometriogram using four common statistics: determinism, longest diagonal, entropy, and laminarity. We found significantly increased determinism (0.035 ± 0.011 vs. 0.077 ± 0.041), entropy (1.768 ± 0.116 vs. 2.197 ± 0.24) and laminarity (0.086 ± 0.034 vs. 0.173 ± 0.078) from the early (26–30 weeks) to late (35–37 weeks) gestation stages. As pregnancy progresses, the uterine vector displacement becomes more periodic, predictable and stable, while VMG recurrence statistics in the fast wave high bandwidth better detect imminent and preterm labor, outperforming classical EHG parameters from bipolar channels. The proposed method was also resistant to motion artifacts and preserved its discriminative capacity between the groups. Our results on VMG recurrence statistics could thus be another reliable biomarker for preventing preterm labor in women with threatened preterm labor and would favor transferring the EHG technique to clinical practice. © 2023 The Author(s)

Keyword:

Recurrence plot, electrohysterography RQA Vectormyometriogram Preterm labor

Author Community:

  • [ 1 ] [Nieto-del-Amor F.]Centro de Investigación e Innovación en Bioingeniería, Universitat Politècnica de València, Valencia, 46022, Spain
  • [ 2 ] [Prats-Boluda G.]Centro de Investigación e Innovación en Bioingeniería, Universitat Politècnica de València, Valencia, 46022, Spain
  • [ 3 ] [Li W.]Faculty of Environment and Life, Beijing University of Technology, Beijing International Science and Technology Cooperation Base for Intelligent Physiological Measurement and Clinical Transformation, Beijing, 100124, China
  • [ 4 ] [Martinez-de-Juan J.L.]Centro de Investigación e Innovación en Bioingeniería, Universitat Politècnica de València, Valencia, 46022, Spain
  • [ 5 ] [Yang L.]Faculty of Environment and Life, Beijing University of Technology, Beijing International Science and Technology Cooperation Base for Intelligent Physiological Measurement and Clinical Transformation, Beijing, 100124, China
  • [ 6 ] [Yang Y.]Faculty of Environment and Life, Beijing University of Technology, Beijing International Science and Technology Cooperation Base for Intelligent Physiological Measurement and Clinical Transformation, Beijing, 100124, China
  • [ 7 ] [Hao D.]Faculty of Environment and Life, Beijing University of Technology, Beijing International Science and Technology Cooperation Base for Intelligent Physiological Measurement and Clinical Transformation, Beijing, 100124, China
  • [ 8 ] [Ye-Lin Y.]Centro de Investigación e Innovación en Bioingeniería, Universitat Politècnica de València, Valencia, 46022, Spain

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Source :

Biomedical Signal Processing and Control

ISSN: 1746-8094

Year: 2024

Volume: 89

5 . 1 0 0

JCR@2022

Cited Count:

WoS CC Cited Count: 0

SCOPUS Cited Count: 1

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 2

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