Wavelet contour based detector for arrhythmia analysis

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F08%3APU75736" target="_blank" >RIV/00216305:26220/08:PU75736 - isvavai.cz</a>

Result on the web

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DOI - Digital Object Identifier

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Result language

angličtina

Original language name

Wavelet contour based detector for arrhythmia analysis

Original language description

This paper deals with design of an automatic detector for classification of selected cardiac arrhythmias. The proposed algorithms employ continuous wavelet transform (CWT) combined with analysis of its contour envelopes. The CWT was used in a detector ofR-waves, to distinguish between normal and abnormal beats, and for detection of atrial premature contractions (APCs) and premature ventricular contractions (PVCs). The algorithm was validated by extensive testing on the MIT/BIH database. Searching for alocal maximum in wavelet contour envelopes efficiently detects R-peaks. The overall accuracy of its detection tested on 48 half-hour signals is 99.5%. Two types of classifications were tested: 1. classification based on the contour envelope and the detection of significant points with overall accuracy 94.6%, 96.1% for sinus rhythm (SR), 30.4% APCs, 71.2% PVCs, and 2. the localization of maximum of square modulus of CWT coefficients in the area of QRS complex for the determination of PVC

Czech name

Wavelet contour based detector for arrhythmia analysis

Czech description

This paper deals with design of an automatic detector for classification of selected cardiac arrhythmias. The proposed algorithms employ continuous wavelet transform (CWT) combined with analysis of its contour envelopes. The CWT was used in a detector ofR-waves, to distinguish between normal and abnormal beats, and for detection of atrial premature contractions (APCs) and premature ventricular contractions (PVCs). The algorithm was validated by extensive testing on the MIT/BIH database. Searching for alocal maximum in wavelet contour envelopes efficiently detects R-peaks. The overall accuracy of its detection tested on 48 half-hour signals is 99.5%. Two types of classifications were tested: 1. classification based on the contour envelope and the detection of significant points with overall accuracy 94.6%, 96.1% for sinus rhythm (SR), 30.4% APCs, 71.2% PVCs, and 2. the localization of maximum of square modulus of CWT coefficients in the area of QRS complex for the determination of PVC

Type

J_x - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)

CEP classification

JD - Use of computers, robotics and its application

OECD FORD branch

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Project

<a href="/en/project/GA102%2F07%2F1473" target="_blank" >GA102/07/1473: Optical Methods for Registration of Heart Electrical Potentials and Calcium Concentration with Laser Stabilization</a><br>

Continuities

Z - Vyzkumny zamer (s odkazem do CEZ)

Publication year

2008

Confidentiality

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

Name of the periodical

European Journal For Biomedical Informatics

ISSN

1801-5603

e-ISSN

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Volume of the periodical

2008

Issue of the periodical within the volume

1

Country of publishing house

CZ - CZECH REPUBLIC

Number of pages

15

Pages from-to

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UT code for WoS article

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EID of the result in the Scopus database

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