Detection of discontinuity in ECG using Wavelet transform

N. Vasudha, N. Sundararajan

Research output: Contribution to journalArticle

Abstract

The Wavelet transform has emerged over recent years as a key time frequency analysis and coding tool for the Electrocardiogram (ECG). Its ability to separate out pertinent signal components has led to a number of wavelet based techniques which supersede those based on traditional Fourier methods. It is interesting to note that researchers in the field of Wavelet transform tend to take an approach to their study by either concentrating on the discrete Wavelet transform or the continuous Wavelet transform but relatively a few explore both in depth. Efficacy of Wavelet transform in highlighting small perturbations in an ECG which are not visible to the naked eye is presented in this paper using both CWT and DWT. On the other hand a new mother wavelet is presented for exclusive ECG analysis.

Original languageEnglish
Pages (from-to)5835-5840
Number of pages6
JournalApplied Mathematical Sciences
Volume6
Issue number117-120
Publication statusPublished - 2012

Fingerprint

Electrocardiography
Wavelet transforms
Wavelet Transform
Discontinuity
Wavelets
Continuous Wavelet Transform
Time-frequency Analysis
Fourier Method
Discrete wavelet transforms
Small Perturbations
Efficacy
Coding
Tend
Electrocardiogram

Keywords

  • Continuous wavelet transform
  • Discrete wavelet transform
  • Electrocardiogram

ASJC Scopus subject areas

  • Applied Mathematics

Cite this

Detection of discontinuity in ECG using Wavelet transform. / Vasudha, N.; Sundararajan, N.

In: Applied Mathematical Sciences, Vol. 6, No. 117-120, 2012, p. 5835-5840.

Research output: Contribution to journalArticle

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