Automatic detection of P wave in ECG during ventricular extrasystoles

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F18%3APU129385" target="_blank" >RIV/00216305:26220/18:PU129385 - isvavai.cz</a>

Result on the web

<a href="https://www.researchgate.net/publication/325452738_Automatic_Detection_of_P_Wave_in_ECG_During_Ventricular_Extrasystoles" target="_blank" >https://www.researchgate.net/publication/325452738_Automatic_Detection_of_P_Wave_in_ECG_During_Ventricular_Extrasystoles</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1007/978-981-10-9038-7_72" target="_blank" >10.1007/978-981-10-9038-7_72</a>

Result language

angličtina

Original language name

Automatic detection of P wave in ECG during ventricular extrasystoles

Original language description

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 %.

Czech name

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Czech description

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Type

D - Article in proceedings

CEP classification

—

OECD FORD branch

20202 - Communication engineering and systems

Project

—

Continuities

S - Specificky vyzkum na vysokych skolach

Publication year

2018

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

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

381-385

Publisher name

Springer Singapore

Place of publication

Praha

Event location

Prague

Event date

Jun 3, 2018

Type of event by nationality

WRD - Celosvětová akce

UT code for WoS article

000449742700072