Modeling an Activation of Heart Ventricular Segments
The result's identifiers
Result code in 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>
Result on the web
<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>
Alternative languages
Result language
angličtina
Original language name
Modeling an Activation of Heart Ventricular Segments
Original language description
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.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
20601 - Medical engineering
Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2019
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Computing in Cardiology 2019
ISBN
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ISSN
0276-6574
e-ISSN
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Number of pages
4
Pages from-to
1-4
Publisher name
Neuveden
Place of publication
Neuveden
Event location
Singapore
Event date
Sep 8, 2019
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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