Detail publikace

Robust QRS Detection Using Combination of Three Independent Methods

SMITAL, L. MARŠÁNOVÁ, L. SMÍŠEK, R. NĚMCOVÁ, A. VÍTEK, M.

Originální název

Robust QRS Detection Using Combination of Three Independent Methods

Typ

článek ve sborníku ve WoS nebo Scopus

Jazyk

angličtina

Originální abstrakt

QRS detection is a fundamental step in ECG analysis. Although there are many algorithms reporting results close to 100%, this problem is still not resolved. The reported numbers are influenced by the quality of the detector, the quality of annotations and also by the chosen method of testing. In this study, we proposed and properly tested robust QRS detection algorithm based on a combination of three independent principles. For enhancement of QRS complexes there were developed three independent approaches based on continuous wavelet transform, Stockwell transform and phasor transform which are followed by individual adaptive thresholding. Each method produces candidates for QRS complexes which are further processed by cluster analysis resulting in final QRS positions. The proposed detection algorithm was tested on three complete standard ECG databases: MIT-BIH Arrhythmia Database, European ST-T Database and QT Database without any change in algorithm setting. We utilized complete data from mentioned databases including all provided leads and used original (not adjusted) reference positions of QRS complexes. Summarized detection accuracy for all three databases was expressed by sensitivity 99.16% and positive predictive value 98.99%.

Klíčová slova

ECG, QRS detection, Stockwell transform, continuous wavelet transform, phasor transform

Autoři

SMITAL, L.; MARŠÁNOVÁ, L.; SMÍŠEK, R.; NĚMCOVÁ, A.; VÍTEK, M.

Vydáno

28. 12. 2020

Nakladatel

IEEE

Místo

Rimini, Italy

ISSN

2325-887X

Periodikum

Computing in Cardiology

Ročník

47

Číslo

1

Stát

Spojené státy americké

Strany od

1

Strany do

4

Strany počet

4

URL

Plný text v Digitální knihovně

BibTex

@inproceedings{BUT166054,
  author="Lukáš {Smital} and Lucie {Šaclová} and Radovan {Smíšek} and Andrea {Němcová} and Martin {Vítek}",
  title="Robust QRS Detection Using Combination of Three Independent Methods",
  booktitle="Computing in Cardiology 2020",
  year="2020",
  journal="Computing in Cardiology",
  volume="47",
  number="1",
  pages="1--4",
  publisher="IEEE",
  address="Rimini, Italy",
  doi="10.22489/CinC.2020.100",
  issn="2325-887X",
  url="http://www.cinc.org/archives/2020/pdf/CinC2020-100.pdf"
}