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.

Original Title

Automatic Detection of Strict Left Bundle Branch Block

English Title

Automatic Detection of Strict Left Bundle Branch Block

Type

Paper in proceedings (conference paper)

Original Abstract

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.

English abstract

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.

Keywords

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

Key words in English

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

Authors

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

RIV year

2019

Released

13.05.2018

Publisher

Springer Singapore

Location

Prague, Czech Republic

ISBN

978-981-10-9038-7

Book

World Congress on Medical Physics and Biomedical Engineering 2018

Edition

IFMBE Proceedings

ISBN

1680-0737

Periodical

IFMBE Proceedings

Volume

68

Number

3

State

French Republic

Pages from

1

Pages to

5

Pages count

5

URL

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

Full text in the Digital Library

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"
}