DocumentCode :
3381509
Title :
Classification of abnormal cortisol patterns by features from Wigner spectra
Author :
Wang, T.P. ; Sun, Mingui ; Li, C.C. ; Vagnucci, A.H.
Author_Institution :
Dept. of Electr. Eng., Pittsburgh Univ., PA, USA
Volume :
ii
fYear :
1990
fDate :
16-21 Jun 1990
Firstpage :
228
Abstract :
A study on applying the discrete pseudo-Wigner distribution to classification of the plasma cortisol short-time series of two disease categories is presented. The autocomponent selection in the Wigner distribution has been studied in regard to feature selection for the pattern recognition. Three energy density features are selected along with the mean level of each time series. These features allow a simple linear classification of the available data. The results show a great potential for using Wigner spectra for feature extraction
Keywords :
blood; computerised pattern recognition; computerised signal processing; spectral analysis; time series; Wigner spectra; abnormal cortisol patterns; autocomponent selection; discrete pseudo-Wigner distribution; energy density features; feature extraction; feature selection; pattern classification; pattern recognition; plasma cortisol short-time series; Biomedical measurements; Diseases; Feature extraction; Neoplasms; Pattern recognition; Plasma density; Signal resolution; Sun; Time frequency analysis; Time measurement;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Pattern Recognition, 1990. Proceedings., 10th International Conference on
Conference_Location :
Atlantic City, NJ
Print_ISBN :
0-8186-2062-5
Type :
conf
DOI :
10.1109/ICPR.1990.119359
Filename :
119359
Link To Document :
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