Publication detail

Automatic detection of P wave in ECG during ventricular extrasystoles

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

Original Title

Automatic detection of P wave in ECG during ventricular extrasystoles

Type

conference paper

Language

English

Original Abstract

This work introduces a new method for P wave detection in ECG signals during ventricular extrasystoles. The authors of previous works which deal with detec-tion of P waves tested their algorithms mainly on physiological records (sinus rhythm) and they reached good results for these records. Testing of P wave de-tection algorithms using pathological records is usually not provided and if it is, the results are notably worse than in the case of physiological records. The auto-matic and reliable detection of atrial activity in pathological situations is still an unsolved problem. In this work, phasor transform in combination with classifica-tion algorithm is used for P wave detection. Phasor transform converts each ECG sample into a phasor which enhances changes in the ECG signal. The classifica-tion is based on extraction of morphological features which are derived from each QRS complex. The results of classification are used for demarcation of areas in which P waves are searched using phasor transform. The proposed algorithm was tested on signals no. 106, 119, 214 and 223 from MIT-BIH arrhythmia da-tabase, in which the ventricular extrasystoles are present. For validation whether the algorithm is functional also for signals with physiological rhythm, it was test-ed on the signals no. 100, 101, 103, 117, and 122. The accuracy of the P wave detection in signals with ventricular extrasystoles is Se = 98.94 % and PP = 98.30 % and in signals without pathology is Se = 98.47 % and PP = 99.99 %.

Keywords

ECG, electrocardiogram, ventricular extrasystoles, P wave, P wave detection, pathological ECG signal

Authors

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

Released

9. 5. 2018

Publisher

Springer Singapore

Location

Praha

ISBN

978-981-10-9038-7

Book

World Congress on Medical Physics and Biomedical Engineering 2018

Edition

IFMBE Proceedings

Edition number

3

ISBN

1680-0737

Periodical

IFMBE PROCEEDINGS

Year of study

68

Number

3

State

Kingdom of Sweden

Pages from

381

Pages to

385

Pages count

5

URL

BibTex

@inproceedings{BUT150617,
  author="Lucie {Šaclová} and Andrea {Němcová} and Radovan {Smíšek} and Tomáš {Goldmann} and Martin {Vítek} and Lukáš {Smital}",
  title="Automatic detection of P wave in ECG during ventricular extrasystoles",
  booktitle="World Congress on Medical Physics and Biomedical Engineering 2018",
  year="2018",
  series="IFMBE Proceedings",
  journal="IFMBE PROCEEDINGS",
  volume="68",
  number="3",
  pages="381--385",
  publisher="Springer Singapore",
  address="Praha",
  doi="10.1007/978-981-10-9038-7\{_}72",
  isbn="978-981-10-9038-7",
  issn="1680-0737",
  url="https://www.researchgate.net/publication/325452738_Automatic_Detection_of_P_Wave_in_ECG_During_Ventricular_Extrasystoles"
}