01192nas a2200169 4500008003900000245007100039210006900110260002000179300001100199520068500210100001600895700001300911700001400924700001600938700001400954856005400968 2018 d00aFeature extraction and classification for pupillary images of rats0 aFeature extraction and classification for pupillary images of ra aSzeged, Hungary a88--913 a
The investigation of the pupillary light reflex (PLR) is a well-known method to provide information about the functionality of the autonomic nervous system. Pupillometry, a non-invasive technique, was applied in our lab to study the schizophrenia-related PLR alterations in a new selectively bred rat substrain, named WISKET. The pupil responses to light impulses were recorded with an infrared camera; the videos were automatically processed and features were extracted. Besides the classical statistical analysis (ANOVA), feature selection and classification were applied to reveal the significant differences in the PLR parameters between the control and WISKET animals.
1 aKalrmár, G1 aBüki, A1 aKekesi, G1 aHorváth, G1 aNyúl, LG uhttp://www.inf.u-szeged.hu/~cscs/pdf/cscs2018.pdf