Secondary wavelet feature decoupling (SWFD) and its use in detecting patient respiration from the photoplethysmogram.

Addison, Paul; Watson, J N

Abstract

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.

Citation

Addison, P., & Watson, J. N. (2003, September). Secondary wavelet feature decoupling (SWFD) and its use in detecting patient respiration from the photoplethysmogram. Presented at 25th Annual Intermational Conference of the IEEE Engineering in Medicine and Biology Society

• Conference Name: 25th Annual Intermational Conference of the IEEE Engineering in Medicine and Biology Society
• Start Date: Sep 17, 2003
• End Date: Sep 21, 2003
• Publication Date: 2003
• Deposit Date: Mar 30, 2015
• Peer Reviewed: Peer Reviewed
• Pages: 2602-2605
• Book Title: Proceedings of the 25th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (IEEE Cat. No.03CH37439)
• ISBN: 0-7803-7789-3
• DOI: https://doi.org/10.1109/IEMBS.2003.1280448
• Keywords: patient respiration detection; photoplethysmogram;respiration features; secondary wavelet feature decoupling; time-frequency features identification; wavelet decomposition
• Public URL: http://researchrepository.napier.ac.uk/id/eprint/7710