Title :
Classification of cutaneous microcirculation signals
Author :
Hitti, Eric ; Lucus, M.F. ; Saumet, Jean-Louis
Author_Institution :
Lab. d´´Autom. de Nantes, Nantes Univ., France
Abstract :
The aim of our study is to develop a computer aided diagnosis tool, allowing characterization of blood tissues from laser Doppler signals of microcirculation. A learning population of four classes corresponding to various local treatments inducing vasoconstriction or vasodilation is available. Signals are modelled by ARMA processes estimated by maximum likelihood identification. Several distances between signals are presented, and we show the first results obtained with the cepstral distance on a set of real data
Keywords :
autoregressive moving average processes; cepstral analysis; haemodynamics; maximum likelihood estimation; medical diagnostic computing; medical signal processing; pattern classification; ARMA process; blood tissue characterization; cepstral distance; computer aided diagnosis tool; cutaneous microcirculation signal classification; laser Doppler signals; learning; maximum likelihood identification; vasoconstriction; vasodilation; Alloying; Blood flow; Cepstral analysis; Electronic mail; Gaussian noise; Hospitals; Ischemic pain; Pathology; Protocols; Signal processing;
Conference_Titel :
Computer-Based Medical Systems., 1997. Proceedings., Tenth IEEE Symposium on
Conference_Location :
Maribor
Print_ISBN :
0-8186-7928-X
DOI :
10.1109/CBMS.1997.596412
