Proceedings of the 17th Conference on Computer Science and Intelligence Systems

DOI: http://dx.doi.org/10.15439/2022F17

Citation: Proceedings of the 17th Conference on Computer Science and Intelligence Systems, M. Ganzha, L. Maciaszek, M. Paprzycki, D. Ślęzak (eds). ACSIS, Vol. 30, pages 745–749 (2022)

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Abstract. A procedure for detecting cognitive impairment in senior citizens is examined using pupil light reflex (PLR) for chromatic light pulse and a portable measuring system. Features of PLRs of blue and red light pulses are compared. PLRs of elderly subjects were studied in order to develop a procedure for detection of the symptoms of cognitive function impairment using a dementia evaluation test. PLRs of both eyes were measured using blue and red light pulses aimed at either of the two eyes. The features of PLR waveforms for each eye were remained in comparable level for every group of participant. Three factor scores were calculated from the features, and a classification procedure for determining the level of dementia in a subject was created using regression analysis. As a result, the contribution of factor scores for blue light pulses according to a participant's age was confirmed

References

1. D. F. Fotiou, V. Setergiou, D. Tsiptsios, C. Lithari, M. Nakou, and A. Karlovasitou, “Cholinergic deficiency in Alzheimer’s and Parkinson’s disease: Evaluation with pupillometry,” International Journal of Psychophysiology, vol. 73, pp. 143–149, 2009.
2. D. M. Bittner, I. Wieseler, H. Wilhelm, M. W. Riepe, and N. G. Müller, “Repetitive pupil light reflex: Potential marker in Alzheimer’s disease?” Journal of Alzheimer’s Disease, vol. 42, pp. 1469–1477, 2014.
3. J. K. H. Lim, Q.-X. Li, Z. He, A. J. Vingrys, V. H. Wong, N. Currier, J. Mullen, B. V. Bul, and C. T. O. Nguyen, “The eye as a biomarker for Alzheimer’s disease,” Frontiers in Neurology, vol. 10, no. 536, pp. 1–14, 2016.
4. S. Asanad, F. N. Ross-Cisneros, E. Barron, M. Nassisi, W. Sultan, R. Karanjia, and A. A. Sadun, “The retinal choroid as an oculavascular biomarker for Alzheimer’s dementia: A histopathological study in severe disease,” Alzheimer’s & Dimentia: Diagnosis, Assessment & Diesease Monitoring, vol. 11, pp. 775–783, 2019.
5. P. D. Gamlin, D. H. McDougal, and J. Pokorny, “Human and macaque pupil responses driven by melanopisn-containing retinal ganglion cells,” Vision Research, vol. 47, pp. 946–954, 2007.
6. A. Kawasaki and R. H. Kardon, “Intrinsically photosensitive retinal ganglion cells,” Journal of Neuro-Ophthalmology, vol. 27, pp. 195–204, 2007.
7. A. J. Zele, P. Adhikari, D. Cao, and B. Feigl, “Melanopsin and cone photoreceptor inputs to the afferent pupil light response,” Frontiers in Neurology, vol. 10, no. 529, pp. 1–9, 2019.
8. P. S. Chougule, R. P. Najjar, M. T. Finkelstein, N. Kandiah, and D. Milea, “Light-induced pupillary responses in Alzheimer’s disease,” Frontiers in Neurology, vol. 10, no. 360, pp. 1–12, 2019.
9. M. Nakayama, W. Nowak, H. Ishikawa, K. Asakawa, and Y. Ichibe, “Discovering irregular pupil light responses to chromatic stimuli using waveform shapes of pupillograms,” EURASIP J. in Bioinformatics and System Biology, vol. #18, pp. 1–14, 2014.
10. A. J. Oh, G. Amore, W. Sultan, S. Asanad, J. C. Park, M. Romagnoli, C. L. Morgia, R. Karanjia, M. G. Harrington, and A. A. Sadun, “Pupillary evaluation of melanopsin retinal ganglion cell function and sleep-wake activity in pre-symptomatic Alzheimer’s disease,” PloS ONE, vol. 14, no. 12, pp. 1–17, December 2019.
11. W. Nowak, M. Nakayama, T. Kręcicki, E. Trypka, A. Andrzejak, and A. Hachoł, “Analysis for extracted features of pupil light reflex to chromatic stimuli in Alzheimer’s patients,” EAI Endorsed Transactions on Pervasive Health and Technology, vol. 5, pp. 1–10, November 2019, e4.
12. W. Nowak, M. Nakayama, T. Kręcicki, and A. Hachoł, “Detection procedures for patients of Alzheimer’s disease using waveform features of pupil light reflex in response to chromatic stimuli,” EAI Endorsed Transactions on Pervasive Health and Technology, vol. 6, pp. 1–11, December 2020, e6.
13. W. Nowak, M. Nakayama, E. Trypka, and A. Zarowska, “Classification of Alzheimer’s disease patients using metric of oculo-motors,” in Proceedings of the Federated Conference on Computer Science and Information Systems (FedCSIS), 2021, pp. 403–407.
14. D. H. McDougal and P. D. Gamlin, “Autonomic control of the eye,” Comprehensive Physiology, vol. 5, no. 1, pp. 439–473, 2015.