Wavelet de-noising of laser Doppler reactive hyperemia signals to diagnose peripheral arterial occlusive diseases.
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.
Humeau
Anne
A
Groupe ISAIP-ESAIP, 18 rue du 8 mai 1945, BP 80022, 49180 Saint Barthélémy d'Anjou Cedex, France. ahumeau@isaip.uco.fr
Koitka
Audrey
A
Saumet
Jean-Louis
JL
L'Huillier
Jean-Pierre
JP
D001157:Arterial Occlusive Diseases / Q000150:complications / Q000175:diagnosis*; D006801:Humans; D006940:Hyperemia / Q000150:complications / Q000175:diagnosis / Q000503:physiopathology*; D017078:Laser-Doppler Flowmetry / Q000379:methods*; D012016:Reference Values; D015424:Reperfusion; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity; D012815:Signal Processing, Computer-Assisted; D013269:Stochastic Processes; D014034:Toes / Q000098:blood supply / Q000503:physiopathology