Naslov
Optimizing the detection of characteristic waves in ECG based on exploration of processing steps combinations

Autori
Friganović, Krešimir ; Jović, Alan ; Kukolja, Davor ; Cifrek, Mario ; Krstačić, Goran

Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni

Izvornik
IFMBE Proceedings, volume 65 / Eskola, Hannu ; Väisänen, Outi ; Viik, Jari ; Hyttinen, Jari - Tampere : Springer, 2017, 928-931

ISBN
978-981-10-5121-0

Skup
Joint Conference of the European Medical and Biological Engineering Conference (EMBEC) and the Nordic-Baltic Conference on Biomedical Engineering and Medical Physics (NBC)

Mjesto i datum
Tampere, Finska, 11.06.2017. - 15.06.2017

Vrsta sudjelovanja
Predavanje

Vrsta recenzije
Međunarodna recenzija

Ključne riječi
ECG, characteristic waves, detection, algorithms, biomedical signal analysis

Sažetak
In this paper, algorithms for detection of characteristic waves in ECG are examined and modified. We distinguished four processing steps of detection algorithms: noise and artefacts reduction, transformations, fiducial marks selection of wave candidates, and decision rule. Several algorithms for detection of QRS, P, and T waves are explored through combinations of processing steps, in order to achieve accurate detection results. Algorithms are tested on public available ECG databases with both QRS and P and T waves annotations. We found that, depending on the database, the combination of Sun Yan's MMF or MMD methods with Elgendi's algorithm works best for QRS detection (Se = 99.77% +P = 99.72% for MMF on MIT-BIH Arrhythmia Database and Se = 99.90% +P = 99.89% for MMD on QT Database), while P and T waves were best detected using only Elgendi's algorithm (P waves: Se = 60.84% +P = 59.61%, T waves: Se = 88.79% +P = 93.55% on MIT-BIH Arrhythmia Database). Our work shows that combining the best proposed methods in literature may lead to improvements in ECG waves detection, although P and T waves detection is still less than satisfactory and warrants further research.

Izvorni jezik
Engleski

Znanstvena područja
Elektrotehnika, Računarstvo, Kliničke medicinske znanosti

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