Wavelet signal extraction using an oximetry based perfusion sensor Conference Paper uri icon


  • 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.

name of conference

  • Optical Diagnostics and Sensing IV

published proceedings


author list (cited authors)

  • Lee, S., Ibey, B. L., Wilson, M. A., Ericson, M. N., & Cote, G. L.

citation count

  • 0

complete list of authors

  • Lee, S||Ibey, BL||Wilson, MA||Ericson, MN||Cote, GL

editor list (cited editors)

  • Cote, G. L., & Priezzhev, A. V.