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

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00064173%3A_____%2F21%3AN0000102" target="_blank" >RIV/00064173:_____/21:N0000102 - isvavai.cz</a>

Výsledek na webu

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

DOI - Digital Object Identifier

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

Jazyk výsledku

angličtina

Název v původním jazyce

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

Popis výsledku v původním jazyce

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.

Název v anglickém jazyce

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

Popis výsledku anglicky

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.

Druh

D - Stať ve sborníku

CEP obor

—

OECD FORD obor

30201 - Cardiac and Cardiovascular systems

Projekt

—

Návaznosti

V - Vyzkumna aktivita podporovana z jinych verejnych zdroju

Rok uplatnění

2021

Kód důvěrnosti údajů

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

Název statě ve sborníku

Computing in Cardiology, Vol. 48

ISBN

978-1-66546-721-6

ISSN

—

e-ISSN

—

Počet stran výsledku

4

Strana od-do

1-4

Název nakladatele

IEEE

Místo vydání

New Jersey

Místo konání akce

Brno

Datum konání akce

12. 9. 2021

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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