Nalazite se na CroRIS probnoj okolini. Ovdje evidentirani podaci neće biti pohranjeni u Informacijskom sustavu znanosti RH. Ako je ovo greška, CroRIS produkcijskoj okolini moguće je pristupi putem poveznice www.croris.hr
izvor podataka: crosbi !

Optimizing the detection of characteristic waves in ECG based on exploration of processing steps combinations (CROSBI ID 650453)

Prilog sa skupa u zborniku | izvorni znanstveni rad | međunarodna recenzija

Friganović, Krešimir ; Jović, Alan ; Kukolja, Davor ; Cifrek, Mario ; Krstačić, Goran Optimizing the detection of characteristic waves in ECG based on exploration of processing steps combinations // IFMBE proceedings / Eskola, Hannu ; Väisänen, Outi ; Viik, Jari et al. (ur.). 2017. str. 928-931

Podaci o odgovornosti

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

engleski

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

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.

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

nije evidentirano

nije evidentirano

nije evidentirano

nije evidentirano

nije evidentirano

nije evidentirano

Podaci o prilogu

928-931.

2017.

objavljeno

Podaci o matičnoj publikaciji

IFMBE Proceedings, volume 65

Eskola, Hannu ; Väisänen, Outi ; Viik, Jari ; Hyttinen, Jari

Tampere: Springer

978-981-10-5121-0

1680-0737

Podaci o skupu

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

predavanje

11.06.2017-15.06.2017

Tampere, Finska

Povezanost rada

Elektrotehnika, Računarstvo, Kliničke medicinske znanosti

Poveznice