Continuous wavelet transform modulus maxima analysis of the electrocardiogram: Beat characterisation and beat-to-beat measurement

IR Legarreta, PS Addison, MJ Reed, N Grubb, GR Clegg, CE Robertson, JN Watson

Research output: Contribution to journalArticlepeer-review

Abstract

The problem of automatic beat recognition in the ECG is tackled using continuous wavelet transform modulus maxima (CWTMM). Features within a variety of ECG signals can be shown to correspond to various morphologies in the CWTMM domain. This domain has an easy interpretation and offers a useful tool for the automatic characterization of the different components observed in the ECG in health and disease. As an application of this enhanced time-frequency analysis technique for ECG signals, an R-wave detector is developed and tested using patient signals recorded in the Coronary Care Unit of the Royal Infirmary of Edinburgh (attaining a sensitivity of 99.53% and a positive predictive value of 99.73%) and with the MIT/BIH database (attaining a sensitivity of 99.70% and a positive predictive value of 99.68%).

Original languageEnglish
Pages (from-to)19-42
Number of pages24
JournalInternational Journal of Wavelets, Multiresolution and Information Processing
Volume3
Issue number1
Publication statusPublished - Mar 2005

Keywords

  • ECC analysis
  • beat detection
  • wavelet transform modulus maxima
  • VENTRICULAR-FIBRILLATION
  • COHERENT STRUCTURES
  • FOREST

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