Fully Automatic Detection of Strict Left Bundle Branch Block

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F18%3APU127910" target="_blank" >RIV/00216305:26220/18:PU127910 - isvavai.cz</a>

Výsledek na webu

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DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

Fully Automatic Detection of Strict Left Bundle Branch Block

Popis výsledku v původním jazyce

Background: Strict (true) left bundle branch block (tLBBB) is a diagnostic marker that was proposed to predict cardiac resynchronization therapy responders. The criteria for tLBBB include the presence of QS- or rS- configurations of QRS in V1 and V2, the presence of mid-QRS notching or slurring in at least two of leads V1, V2, V5, V6, I and avL and finally a QRS duration (QRSd) of more than 130 ms (women) or 140 ms (men). Purpose: The main objective was to develop an automatic detector of tLBBB with the best possible success. This work was involved in the competition LBBB Initiative of the ICSE 2018. Methods: Ten-second six-lead ECG from the MADIT-CRT database were used to develop (300 signals – 96 tLBBB and 202 non-tLBBB) and test (302 signals) the detector. We detected all parts of the criteria separately. QRS notching and slurring were detected by thresholding several features - width and prominence of local extremes in QRS (for QRS notching detection) and the width and prominence of the local extr

Název v anglickém jazyce

Fully Automatic Detection of Strict Left Bundle Branch Block

Popis výsledku anglicky

Background: Strict (true) left bundle branch block (tLBBB) is a diagnostic marker that was proposed to predict cardiac resynchronization therapy responders. The criteria for tLBBB include the presence of QS- or rS- configurations of QRS in V1 and V2, the presence of mid-QRS notching or slurring in at least two of leads V1, V2, V5, V6, I and avL and finally a QRS duration (QRSd) of more than 130 ms (women) or 140 ms (men). Purpose: The main objective was to develop an automatic detector of tLBBB with the best possible success. This work was involved in the competition LBBB Initiative of the ICSE 2018. Methods: Ten-second six-lead ECG from the MADIT-CRT database were used to develop (300 signals – 96 tLBBB and 202 non-tLBBB) and test (302 signals) the detector. We detected all parts of the criteria separately. QRS notching and slurring were detected by thresholding several features - width and prominence of local extremes in QRS (for QRS notching detection) and the width and prominence of the local extr

Druh

O - Ostatní výsledky

CEP obor

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OECD FORD obor

20601 - Medical engineering

Projekt

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Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2018

Kód důvěrnosti údajů

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