Investigating Cardiac Optical Signal Dynamics in Guinea Pigs Using Directed Information

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    Abstract

    Investigating the bio-electrical propagation could potentially facilitate understanding of the underlying physiological mechanisms of the bio-electrical activities, and thus enhancing disease diagnosis. High-spatial-resolution optical mapping technique has been used to examine the cardiac electrical propagation. However, it is expensive, requires more computational resource, and has limitations in clinical settings. This study offers a unique contribution to the development and optimization of the directed information (DI)-based method to estimate the cardiac excitation propagation. This method was applied to the cardiac optical excitation signals acquired from adult guinea pig's heart. The results of our method using cardiac action potentials of low-spatial resolution were compared to the excitation propagation observed in the cardiac optical mapping images of high-spatial-resolution. The results showed the remarkable ability of our method to provide intricate and complex details using low-spatial-resolution data, which are difficult to visualize from the cardiac optical recordings, offering a more realistic representation of the clinical scenarios.
    Original languageEnglish
    Title of host publication2024 46th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)
    PublisherIEEE
    Number of pages4
    ISBN (Electronic)9798350371499
    ISBN (Print)979835037150-5
    DOIs
    Publication statusE-pub ahead of print - 17 Dec 2024
    Event46th Annual International Conference of the IEEE Engineering in Medicine and Biology Society - Orlando, FL, USA, Orlando, United States
    Duration: 15 Jul 202419 Jul 2024
    https://embc.embs.org/2024/

    Publication series

    NameProceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS
    PublisherIEEE
    ISSN (Print)2375-7477
    ISSN (Electronic)2694-0604

    Conference

    Conference46th Annual International Conference of the IEEE Engineering in Medicine and Biology Society
    Abbreviated titleIEEE EMBS
    Country/TerritoryUnited States
    CityOrlando
    Period15/07/2419/07/24
    Internet address

    Bibliographical note

    © 2024 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.

    Copyright © and Moral Rights are retained by the author(s) and/ or other copyright owners. A copy can be downloaded for personal non-commercial research or study, without prior permission or charge. This item cannot be reproduced or quoted extensively from without first obtaining permission in writing from the copyright holder(s). The content must not be changed in any way or sold commercially in any format or medium without the formal permission of the copyright holders.

    This document is the author’s post-print version, incorporating any revisions agreed during the peer-review process. Some differences between the published version and this version may remain and you are advised to consult the published version if you wish to cite from it

    Funding

    This work was supported by MRC (G0902091 and MR/L0009560/1), NIHR AI Award (AI_AWARD02312) and GCRF Fully Funded Doctoral Studentship.

    FundersFunder number
    Global Challenges Research Fund
    Medical Research CouncilG0902091, MR/L0009560/1
    Medical Research Council
    National Institute for Health and Care ResearchAI-AWARD02312
    National Institute for Health and Care Research

      Keywords

      • Heart
      • Biomedical optical imaging
      • Action potentials
      • Image resolution
      • Optical recording
      • Optical propagation
      • Optical imaging
      • Medical diagnosis
      • Signal resolution
      • Optimization

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