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Proceedings of the 16th Conference on Computer Science and Intelligence Systems

Annals of Computer Science and Information Systems, Volume 25

Classification of Alzheimer's disease patients using metrics of oculo-motors

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DOI: http://dx.doi.org/10.15439/2021F32

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 403407 ()

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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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