Classification of Alzheimer's disease patients using metrics of oculo-motors
Wioletta Nowak, Minoru Nakayama, Elzbieta Trypka, Anna Zarowska
Citation: Proceedings of the 16th Conference on Computer Science and Intelligence Systems, M. Ganzha, L. Maciaszek, M. Paprzycki, D. Ślęzak (eds). ACSIS, Vol. 25, pages 403–407 (2021)
Abstract. Ocular information was observed during a set of dementia tests involving participants with two diagnostic levels of illness, such as having Alzheimer's Disease (AD), a mild level of cognitive impairment (MCI) patients, and a control group. The number of participants was 26. Features of changes in pupil size and in the central position of both eyes were compared between three levels. There are significant differences in some of the metrics between the levels in the earlier test sessions. The possibility of classification was confirmed using the extracted features, and the contributions of some features were examined.
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