Research Output
Evaluating arrhythmias in ECG signals using wavelet transforms.
  Recent work has attempted to utilize wavelet techniques in the analysis of biomedical signals including ECGs. Here, the authors present an energy-based method of interrogating the ECG in VF using high-resolution, log-scale continuous wavelet plots. With this method, underlying structures within the VF waveform are made visible in the wavelet time-scale half space.

  • Type:

    Article

  • Date:

    31 December 2000

  • Publication Status:

    Published

  • Publisher

    IEEE

  • DOI:

    10.1109/51.870237

  • ISSN:

    0739-5175

  • Library of Congress:

    TK Electrical engineering. Electronics Nuclear engineering

  • Dewey Decimal Classification:

    621.382 Communications engineering

Citation

Addison, P., Watson, J. N., Clegg, G. R., Holzer, M., Sterz, F., & Robertson, C. E. (2000). Evaluating arrhythmias in ECG signals using wavelet transforms. IEEE engineering in medicine & biology magazine the quarterly magazine of the Engineering in Medicine & Biology Society, 19, 104-109. https://doi.org/10.1109/51.870237

Authors

Keywords

ECG signals; arrhythmias evaluation; biomedical signals analysis; electrodiagnostics; energy-based method; high-resolution log-scale continuous wavelet plots; wavelet time-scale half space;

Monthly Views:

Available Documents