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VDI Vision - Analysis of Ventricular Electrical Dyssynchrony in Real-Time

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68081731%3A_____%2F21%3A00555022" target="_blank" >RIV/68081731:_____/21:00555022 - isvavai.cz</a>

  • Result on the web

    <a href="https://ieeexplore.ieee.org/document/9662916" target="_blank" >https://ieeexplore.ieee.org/document/9662916</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.23919/CinC53138.2021.9662916" target="_blank" >10.23919/CinC53138.2021.9662916</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    VDI Vision - Analysis of Ventricular Electrical Dyssynchrony in Real-Time

  • Original language description

    Background: Ventricular electrical dyssynchrony can be examined using ultra-high-frequency (UHF-ECG) analysis. Furthermore, UHF-ECG analysis would allow direct optimization of pacing therapy. Here we introduce VDI vision (Ventricular Dyssynchrony Imaging), a desktop application for the real-time processing of UHF-ECG recordings. Method: Incoming ECG data (5kHz, 26 bits, 24 channels) are processed as follows: QRS detection, pacemaker stimuli elimination, QRS clustering, amplitude envelopes in nine frequency bands, and final combination into the Ventricular Depolarization (VD) map. The VD map is updated whenever a new QRS is detected. Results: We developed the VDI vision using the. NET platform. Until the end of March 2021, the VDI monitor was used to analyze 773 and 4,849 recordings at ICRC-FNUSA hospital (Brno, Czechia) and FNKV hospital (Prague, Czechia), respectively. The median length for ICRC-FNUSA recordings was 124 (IQR 121-139) seconds. The median length for recordings at FNKV hospital was 157 seconds (IQR 127-200). Conclusion: The VDI vision delivers information about electrical ventricular dyssynchrony in real-time. The instant analysis allows using the software during implant procedures for optimizing electrode placement and pacing. The presented real-time solution also significantly minimized measurement duration.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    20601 - Medical engineering

Result continuities

  • Project

  • Continuities

    I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Others

  • Publication year

    2021

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Article name in the collection

    2021 Computing in Cardiology (CinC)

  • ISBN

    978-166547916-5

  • ISSN

    2325-8861

  • e-ISSN

    2325-887X

  • Number of pages

    4

  • Pages from-to

    103

  • Publisher name

    IEEE

  • Place of publication

    New York

  • Event location

    Brno

  • Event date

    Sep 12, 2021

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article