Research Output
Secondary wavelet feature decoupling (SWFD) and its use in detecting patient respiration from the photoplethysmogram.
  We describe a method for the identification of time-frequency features associated with patient respiration in the wavelet decomposition of the photoplethysmogram where the respiration features are masked by other signal components with similar spectral content. In the novel methodology a secondary transform is performed on a signal derived from the original wavelet decomposition in the region of the pulse band. The method has wide application to many other problematic signals.

  • Date:

    31 December 2003

  • Publication Status:

    Published

  • DOI:

    10.1109/IEMBS.2003.1280448

  • Library of Congress:

    R1 Medicine (General)

  • Dewey Decimal Classification:

    610 Medicine & health

Citation

Addison, P., & Watson, J. N. (2003). Secondary wavelet feature decoupling (SWFD) and its use in detecting patient respiration from the photoplethysmogram. In Proceedings of the 25th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (IEEE Cat. No.03CH37439), 2602-2605. https://doi.org/10.1109/IEMBS.2003.1280448

Authors

Keywords

patient respiration detection; photoplethysmogram;respiration features; secondary wavelet feature decoupling; time-frequency features identification; wavelet decomposition;

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