Kalmár György and Büki Alexandra and Kékesi Gabriella and Horváth Gyöngyi and Nyúl László G.: Feature extraction and classification for pupillary images of rats.
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Abstract
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.
| Item Type: | Conference or Workshop Item |
|---|---|
| Journal or Publication Title: | Conference of PhD Students in Computer Science |
| Date: | 2018 |
| Volume: | 11 |
| Page Range: | pp. 88-91 |
| Event Title: | Conference of PhD students in computer science (11.) (2018) (Szeged) |
| Related URLs: | http://acta.bibl.u-szeged.hu/59477/ |
| Uncontrolled Keywords: | Számítástechnika, Orvostudomány |
| Additional Information: | Bibliogr.: p. 90-91. ; összefoglalás angol nyelven |
| Date Deposited: | 2019. Nov. 04. 09:58 |
| Last Modified: | 2022. Nov. 08. 10:18 |
| URI: | http://acta.bibl.u-szeged.hu/id/eprint/61773 |
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