Wavelet de-noising of laser Doppler reactive hyperemia signals to diagnose peripheral arterial occlusive diseases

Author

Humeau, Anne ; Koitka, Audrey ; Saumet, Jean-Louis ; L´Huillier, Jean-Pierre

Author_Institution

Groupe ISAIP-ESAIP, Saint Barthelemy D´´Anjou, France

Volume

49

Issue

11

fYear

2002

Firstpage

1369

Lastpage

1371

Abstract

In order to improve peripheral arterial occlusive diseases (PAOD) diagnoses, five de-noising algorithms based on a multiresolution analysis computed with wavelets are applied on reactive hyperemia signals obtained with the laser Doppler flowmetry technique. Results are presented on recordings acquired on patients suffering from PAOD and on healthy subjects.

Keywords

Doppler measurement; blood vessels; diseases; laser applications in medicine; medical signal processing; noise; patient diagnosis; wavelet transforms; blood vessel disease; healthy subjects; laser Doppler reactive hyperemia signals; medical diagnostic technique; multiresolution analysis; peripheral arterial occlusive disease diagnosis; reactive hyperemia; wavelet denoising; Atherosclerosis; Blood flow; Cells (biology); Computer peripherals; Diseases; Multiresolution analysis; Noise reduction; Signal processing; Wavelet analysis; Wavelet coefficients; Arterial Occlusive Diseases; Humans; Hyperemia; Laser-Doppler Flowmetry; Reference Values; Reperfusion; Reproducibility of Results; Sensitivity and Specificity; Signal Processing, Computer-Assisted; Stochastic Processes; Toes;

fLanguage

English

Journal_Title

Biomedical Engineering, IEEE Transactions on

Publisher

ieee

ISSN

0018-9294

Type

jour

DOI

10.1109/TBME.2002.804583

Filename

1046945