Wavelet signal extraction using an oximetry based perfusion sensor

Seungjoon Lee; Bennet L. Ibey; Mark A. Wilson; M. Nance Ericson; Gerard L. Cote

doi:10.1117/12.529334

Wavelet signal extraction using an oximetry based perfusion sensor

Seungjoon Lee, Bennet L. Ibey, Mark A. Wilson, M. Nance Ericson, Gerard L. Cote

Sensors and Electronics

Research output: Contribution to journal › Conference article › peer-review

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.

Original language	English
Pages (from-to)	44-50
Number of pages	7
Journal	Proceedings of SPIE - The International Society for Optical Engineering
Volume	5325
DOIs	https://doi.org/10.1117/12.529334
State	Published - 2004
Event	Optical Diagnostics and Sensing IV - San Jose, CA, United States Duration: Jan 27 2004 → Jan 27 2004

Keywords

DWT
FFT
Perfusion
Pulse oximeter
Transplant organ
Wavelet

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10.1117/12.529334

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title = "Wavelet signal extraction using an oximetry based perfusion sensor",

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.",

keywords = "DWT, FFT, Perfusion, Pulse oximeter, Transplant organ, Wavelet",

author = "Seungjoon Lee and Ibey, {Bennet L.} and Wilson, {Mark A.} and Ericson, {M. Nance} and Cote, {Gerard L.}",

year = "2004",

doi = "10.1117/12.529334",

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volume = "5325",

pages = "44--50",

journal = "Proceedings of SPIE - The International Society for Optical Engineering",

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note = "Optical Diagnostics and Sensing IV ; Conference date: 27-01-2004 Through 27-01-2004",

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TY - JOUR

T1 - Wavelet signal extraction using an oximetry based perfusion sensor

AU - Lee, Seungjoon

AU - Ibey, Bennet L.

AU - Wilson, Mark A.

AU - Ericson, M. Nance

AU - Cote, Gerard L.

PY - 2004

Y1 - 2004

N2 - 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.

AB - 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.

KW - DWT

KW - FFT

KW - Perfusion

KW - Pulse oximeter

KW - Transplant organ

KW - Wavelet

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DO - 10.1117/12.529334

M3 - Conference article

AN - SCOPUS:7644231826

SN - 0277-786X

VL - 5325

SP - 44

EP - 50

JO - Proceedings of SPIE - The International Society for Optical Engineering

JF - Proceedings of SPIE - The International Society for Optical Engineering

T2 - Optical Diagnostics and Sensing IV

Y2 - 27 January 2004 through 27 January 2004

ER -

Wavelet signal extraction using an oximetry based perfusion sensor

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Keywords

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