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Proceedings Paper

Wavelet signal extraction using an oximetry-based perfusion sensor
Author(s): Seungjoon Lee; Bennett L. Ibey; Mark A. Wilson; M. Nance Ericson; Gerard L. Cote
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Paper Abstract

A sensor has been developed that uses multiple source excitation to measure blood perfusion in transplanted organs. To better isolate the signal of interest, wavelet decomposition analysis was used and compared to Fast Fourier Transform analysis. Data was collected in vitro using an adjustable peristaltic perfusion system and compared to simulated data created using low frequency sine waves. Standard FFT analysis and wavelet decomposition, using the symlet-4 wavelet mother function, was performed on both sets of data. The results showed that wavelet analysis was more suitable than FFT to extract the semi-periodic perfusion signal. These results indicate the potential of wavelet analysis for blood perfusion monitoring.

Paper Details

Date Published: 18 June 2004
PDF: 7 pages
Proc. SPIE 5325, Optical Diagnostics and Sensing IV, (18 June 2004); doi: 10.1117/12.529334
Show Author Affiliations
Seungjoon Lee, Texas A&M Univ. (United States)
Bennett L. Ibey, Texas A&M Univ. (United States)
Mark A. Wilson, Univ. of Pittsburgh (United States)
M. Nance Ericson, Oak Ridge National Lab. (United States)
Gerard L. Cote, Texas A&M Univ. (United States)


Published in SPIE Proceedings Vol. 5325:
Optical Diagnostics and Sensing IV
Gerard L. Cote; Alexander V. Priezzhev, Editor(s)

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