Wavelet transforms and the ECG: A review

  • Addison P
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Beat-to-beat wavelet variance of the QRS complex as a marker of arrhythmogenic substrate in ventricular tachycardia patients M Popescu, N Laskaris, I Chiladakis et al. Wavelet analysis in neurodynamics Aleksei N Pavlov, Aleksandr E Hramov, Aleksei A Koronovskii et al. Robust electrocardiogram (ECG) beat classification using discrete wavelet transform Fayyaz-ul-Amir Afsar Minhas and Muhammad Arif Wavelet bidomain sample entropy in AF Raúl Alcaraz and José Joaquín Rieta SVM classification of CWT signal features for predicting sudden cardiac death Towfeeq Fairooz and Hedi Khammari Magnetocardiographic analysis of the two-dimensional distribution of intra-QRS fractionated activation H-P Müller, P Gödde, K Czerski et al. Wavelet transforms and the ECG: a review View the table of contents for this issue, or go to the journal homepage for more 2005 Physiol. Meas. 26 R155 Abstract The wavelet transform has emerged over recent years as a powerful time– frequency analysis and signal coding tool favoured for the interrogation of complex nonstationary signals. Its application to biosignal processing has been at the forefront of these developments where it has been found particularly useful in the study of these, often problematic, signals: none more so than the ECG. In this review, the emerging role of the wavelet transform in the interrogation of the ECG is discussed in detail, where both the continuous and the discrete transform are considered in turn.

Author-supplied keywords

  • Electrocardiogram
  • Wavelet transforms

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  • Paul S. Addison

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