title: Wavelet de-noising of laser Doppler reactive hyperemia signals to diagnose peripheral arterial occlusive diseases.
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.
authors.affiliation: Groupe ISAIP-ESAIP, 18 rue du 8 mai 1945, BP 80022, 49180 Saint Barthélémy d'Anjou Cedex, France. ahumeau@isaip.uco.fr
authors.forename: Anne
authors.initials: A
authors.lastname: Humeau
authors.forename: Audrey
authors.initials: A
authors.lastname: Koitka
authors.forename: Jean-Louis
authors.initials: JL
authors.lastname: Saumet
authors.forename: Jean-Pierre
authors.initials: JP
authors.lastname: L'Huillier
mesh_terms: 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