Modeling an Activation of Heart Ventricular Segments

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F19%3APU133924" target="_blank" >RIV/00216305:26220/19:PU133924 - isvavai.cz</a>

Výsledek na webu

<a href="http://www.cinc.org/archives/2019/pdf/CinC2019-177.pdf" target="_blank" >http://www.cinc.org/archives/2019/pdf/CinC2019-177.pdf</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.22489/CinC.2019.177" target="_blank" >10.22489/CinC.2019.177</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Modeling an Activation of Heart Ventricular Segments

Popis výsledku v původním jazyce

Background: Here, we present a 2D activation model evaluating the activation of specific myocardium segments (MS). Activation times of specific MS can help to identify conduction disturbances which may result in more targeted treatment of patients. Methods: 12-lead ECG signal was measured with a 5kHz sampling frequency. A total of 10 left bundle branch block (LBBB) and 5 right bundle branch block (RBBB) recordings were analyzed. The analysis includes the following steps: 1) QRS complexes detection and morphology clustering, 2) averaging of 150-1000 Hz envelopes of QRS complexes with dominant morphology, 3) a genetic algorithm (GA) produces artificial envelopes from (initially random) timing of MS activation. The task for GA is to produce envelopes the most similar to measured; then final timing reflects real activation of MS. Results: Presented model determined activation of left ventricular (LV) segments before right ventricular (RV) segments in all RBBB patients (mean 61.4 ± 13.7 ms) and activation of RV segments before the LV segments in all LBBB patients (mean 87.8 ± 15.8 ms). Computed activation of MS corresponds to the expected activation. Conclusion: We introduced a new method determining activation times of MS; this is achieved non-invasively using only ultra-high-frequency precordial ECG signal.

Název v anglickém jazyce

Modeling an Activation of Heart Ventricular Segments

Popis výsledku anglicky

Background: Here, we present a 2D activation model evaluating the activation of specific myocardium segments (MS). Activation times of specific MS can help to identify conduction disturbances which may result in more targeted treatment of patients. Methods: 12-lead ECG signal was measured with a 5kHz sampling frequency. A total of 10 left bundle branch block (LBBB) and 5 right bundle branch block (RBBB) recordings were analyzed. The analysis includes the following steps: 1) QRS complexes detection and morphology clustering, 2) averaging of 150-1000 Hz envelopes of QRS complexes with dominant morphology, 3) a genetic algorithm (GA) produces artificial envelopes from (initially random) timing of MS activation. The task for GA is to produce envelopes the most similar to measured; then final timing reflects real activation of MS. Results: Presented model determined activation of left ventricular (LV) segments before right ventricular (RV) segments in all RBBB patients (mean 61.4 ± 13.7 ms) and activation of RV segments before the LV segments in all LBBB patients (mean 87.8 ± 15.8 ms). Computed activation of MS corresponds to the expected activation. Conclusion: We introduced a new method determining activation times of MS; this is achieved non-invasively using only ultra-high-frequency precordial ECG signal.

Druh

D - Stať ve sborníku

CEP obor

—

OECD FORD obor

20601 - Medical engineering

Projekt

—

Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2019

Kód důvěrnosti údajů

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

Název statě ve sborníku

Computing in Cardiology 2019

ISBN

—

ISSN

0276-6574

e-ISSN

—

Počet stran výsledku

4

Strana od-do

1-4

Název nakladatele

Neuveden

Místo vydání

Neuveden

Místo konání akce

Singapore

Datum konání akce

8. 9. 2019

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

—