Title :
Secondary wavelet feature decoupling (SWFD) and its use in detecting patient respiration from the photoplethysmogram
Author :
Addison, P.S. ; Watson, J.N.
Author_Institution :
Fac. of Eng. & Comput., Napier Univ. of Edinburgh, UK
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.
Keywords :
feature extraction; medical signal processing; patient diagnosis; patient monitoring; plethysmography; pneumodynamics; time-frequency analysis; patient respiration detection; photoplethysmogram; respiration features; secondary wavelet feature decoupling; time-frequency features identification; wavelet decomposition; Biomedical signal processing; Data mining; Equations; Feature extraction; Signal analysis; Signal processing; Surface waves; Time frequency analysis; Wavelet analysis; Wavelet transforms;
Conference_Titel :
Engineering in Medicine and Biology Society, 2003. Proceedings of the 25th Annual International Conference of the IEEE
Print_ISBN :
0-7803-7789-3
DOI :
10.1109/IEMBS.2003.1280448
