Analysis of Electrohysterographic Signal Propagation Direction during Uterine Contraction: the Application of Directed Information

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    18 Downloads (Pure)

    Abstract

    The potential of using the information of uterine contractions (UCs) derived from electrohysterogram (EHG) has been recognized in early detection of preterm delivery. A better understanding of the conduction property of EHG is clinically useful for developing advanced methods to achieve a reliable prediction of preterm delivery. In this paper, a method to analyze the destination of EHG propagation has been proposed via the estimation of directed information (DI) between each pair of neighboring channels with a novel propagation terminal zone (PTZ) identification algorithm. The proposed method was applied to experimental data from the Icelandic 16-electrode EHG database. The results demonstrated that for more than 81.8% participants, the PTZ was identified along the medial axis of uterus, among which more than half have their PTZ determined in the center between the uterine fundus and public symphysis, which indicated a great probability of propagation of EHG signals towards the center of uterus plane.Clinical relevance - This study makes a fundamental contribution for predicting preterm delivery, which can provide improvement in obstetric care towards pregnancy monitoring.

    Original languageEnglish
    Title of host publication42nd Annual International Conferences of the IEEE Engineering in Medicine and Biology Society
    Subtitle of host publicationEnabling Innovative Technologies for Global Healthcare, EMBC 2020
    PublisherIEEE
    Pages21-25
    Number of pages5
    ISBN (Electronic)978-1-7281-1990-8
    ISBN (Print)9781728119908
    DOIs
    Publication statusPublished - 27 Aug 2020
    Event42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society - EMBS Virtual Academy
    Duration: 20 Jul 202024 Jul 2020

    Publication series

    NameProceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS
    Volume2020-July
    ISSN (Print)1557-170X

    Conference

    Conference42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society
    Abbreviated titleEMBC
    Period20/07/2024/07/20

    Bibliographical note

    © 2020 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.

    ASJC Scopus subject areas

    • Signal Processing
    • Biomedical Engineering
    • Computer Vision and Pattern Recognition
    • Health Informatics

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