Automatic detection of strict left bundle branch block

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68081731%3A_____%2F19%3A00494535" target="_blank" >RIV/68081731:_____/19:00494535 - isvavai.cz</a>

Result on the web

<a href="http://dx.doi.org/10.1007/978-981-10-9038-7_82" target="_blank" >http://dx.doi.org/10.1007/978-981-10-9038-7_82</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1007/978-981-10-9038-7_82" target="_blank" >10.1007/978-981-10-9038-7_82</a>

Result language

angličtina

Original language name

Automatic detection of strict left bundle branch block

Original language description

Strict (true) left bundle branch block (tLBBB) ECG morphology is a new diagnostic marker in cardiology that was proposed to predict cardiac resynchronization therapy (CRT) responders. In this paper we present an algorithm for the automatic detection of tLBBB. This algorithm includes mid-QRS notching and slurring detection, QRS duration measurement and tLBBB morphology detection. All required morphologies are detected in the time domain using thresholding of simple features of signal. In order to test our algorithms, three experts labelled 78 ECG records (12 leads, fs = 5 kHz, 15 min), 51 records were labeled as tLBBB. The proposed algorithms were tested showing overall sensitivity and specificity 98 and 86%, respectively, in cases where all three experts reached full consensus (82% of the dataset). Our method showed lower sensitivity and higher specificity 96% and 88%, respectively, for the dataset including cases where experts mutually disagreed, consensus has been reached through expert discussion in these records.

Czech name

—

Czech description

—

Type

D - Article in proceedings

CEP classification

—

OECD FORD branch

20601 - Medical engineering

Project

<a href="/en/project/GA17-13830S" target="_blank" >GA17-13830S: Analytical methods for advanced identification of ventricular dyssynchrony</a><br>

Continuities

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year

2019

Confidentiality

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

Article name in the collection

IFMBE Proceedings

ISBN

978-981-10-9037-0

ISSN

1680-0737

e-ISSN

—

Number of pages

5

Pages from-to

435-439

Publisher name

Springer

Place of publication

Singapore

Event location

Prague

Event date

Jun 3, 2018

Type of event by nationality

WRD - Celosvětová akce

UT code for WoS article

000449742700082