Automatic Detection of Strict Left Bundle Branch Block
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F18%3APU127907" target="_blank" >RIV/00216305:26220/18:PU127907 - isvavai.cz</a>
Alternative codes found
RIV/00159816:_____/19:00072534
Result on the web
<a href="https://www.springer.com/us/book/9789811090226#aboutBook" target="_blank" >https://www.springer.com/us/book/9789811090226#aboutBook</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>
Alternative languages
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
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Classification
Type
D - Article in proceedings
CEP classification
—
OECD FORD branch
20601 - Medical engineering
Result continuities
Project
<a href="/en/project/GA17-13830S" target="_blank" >GA17-13830S: Analytical methods for advanced identification of ventricular dyssynchrony</a><br>
Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2018
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
World Congress on Medical Physics and Biomedical Engineering 2018
ISBN
978-981-10-9038-7
ISSN
1680-0737
e-ISSN
—
Number of pages
5
Pages from-to
1-5
Publisher name
Springer Singapore
Place of publication
Prague, Czech Republic
Event location
Prague
Event date
Jun 3, 2018
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000449742700082