Publication detail

Wavelet contour based detector for arrhythmia analysis

KIČMEROVÁ, D. PROVAZNÍK, I.

Original Title

Wavelet contour based detector for arrhythmia analysis

Type

journal article - other

Language

English

Original Abstract

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%.

Keywords

Arrhythmias, ECG signal, wavelet transform, contours

Authors

KIČMEROVÁ, D.; PROVAZNÍK, I.

RIV year

2008

Released

1. 11. 2008

ISBN

1801-5603

Periodical

European Journal For Biomedical Informatics

Year of study

2008

Number

1

State

Czech Republic

Pages from

1

Pages to

15

Pages count

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"
}