Detail publikace

Wavelet contour based detector for arrhythmia analysis

KIČMEROVÁ, D. PROVAZNÍK, I.

Originální název

Wavelet contour based detector for arrhythmia analysis

Typ

článek v časopise - ostatní, Jost

Jazyk

angličtina

Originální abstrakt

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 of R-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 a local 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 PVCs between SR, right bundle branch block (RBBB), APC and other narrow complex arrhythmias with the accuracy 96.8%.

Klíčová slova

Arrhythmias, ECG signal, wavelet transform, contours

Autoři

KIČMEROVÁ, D.; PROVAZNÍK, I.

Rok RIV

2008

Vydáno

1. 11. 2008

ISSN

1801-5603

Periodikum

European Journal For Biomedical Informatics

Ročník

2008

Číslo

1

Stát

Česká republika

Strany od

1

Strany do

15

Strany počet

15

BibTex

@article{BUT47595,
  author="Dina {Kičmerová} and Valentine {Provazník}",
  title="Wavelet contour based detector for arrhythmia analysis",
  journal="European Journal For Biomedical Informatics",
  year="2008",
  volume="2008",
  number="1",
  pages="1--15",
  issn="1801-5603"
}