Detail publikačního výsledku

Automatic Detection of Strict Left Bundle Branch Block

SMÍŠEK, R.; JURÁK, P.; VIŠČOR, I.; HALÁMEK, J.; PLEŠINGER, F.; MATEJKOVÁ, M.; LEINVEBER, P.; KOLÁŘOVÁ, J.

Originální název

Automatic Detection of Strict Left Bundle Branch Block

Anglický název

Automatic Detection of Strict Left Bundle Branch Block

Druh

Stať ve sborníku v databázi WoS či Scopus

Originální abstrakt

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.

Anglický abstrakt

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.

Klíčová slova

Strict left bundle branch block; QRS notching; QRS slurring; QRS morphology; ECG

Klíčová slova v angličtině

Strict left bundle branch block; QRS notching; QRS slurring; QRS morphology; ECG

Autoři

SMÍŠEK, R.; JURÁK, P.; VIŠČOR, I.; HALÁMEK, J.; PLEŠINGER, F.; MATEJKOVÁ, M.; LEINVEBER, P.; KOLÁŘOVÁ, J.

Rok RIV

2019

Vydáno

13.05.2018

Nakladatel

Springer Singapore

Místo

Prague, Czech Republic

ISBN

978-981-10-9038-7

Kniha

World Congress on Medical Physics and Biomedical Engineering 2018

Edice

IFMBE Proceedings

ISSN

1680-0737

Periodikum

IFMBE Proceedings

Svazek

68

Číslo

3

Stát

Francouzská republika

Strany od

1

Strany do

5

Strany počet

5

URL

https://www.springer.com/us/book/9789811090226#aboutBook

Plný text v Digitální knihovně

http://hdl.handle.net/

BibTex

@inproceedings{BUT147400,
  author="Radovan {Smíšek} and Pavel {Jurák} and Ivo {Viščor} and Josef {Halámek} and Filip {Plešinger} and Magdaléna {Bačo Matejková} and Pavel {Leinveber} and Jana {Kolářová}",
  title="Automatic Detection of Strict Left Bundle Branch Block",
  booktitle="World Congress on Medical Physics and Biomedical Engineering 2018",
  year="2018",
  series="IFMBE Proceedings",
  journal="IFMBE Proceedings",
  volume="68",
  number="3",
  pages="1--5",
  publisher="Springer Singapore",
  address="Prague, Czech Republic",
  doi="10.1007/978-981-10-9038-7\{_}82",
  isbn="978-981-10-9038-7",
  issn="1680-0737",
  url="https://www.springer.com/us/book/9789811090226#aboutBook"
}