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Symptoms of Dementia in Elderly Persons Using Waveform Features of Pupil Light Reflex

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Information Technology for Management: Approaches to Improving Business and Society (FedCSIS-AIST 2022, ISM 2022)

Part of the book series: Lecture Notes in Business Information Processing ((LNBIP,volume 471))

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Abstract

A procedure for detecting cognitive impairment in senior citizens is examined using pupil light reflex (PLR) to chromatic light pulses and a portable measuring system. PLRs of both eyes were measured using blue and red light pulses aimed at either of the two eyes. The symptoms of cognitive function impairment were evaluated using a conventional dementia test during clinical surveillance. The extracted features of observed PLR waveforms for each eye remained at a comparable level for every group of participants. 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 on both eyes according to a participant’s age was confirmed.

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Acknowledgements

This research was partially supported by the Japan Science and Technology Agency (JST), Adaptable and Seamless Technology transfer program through target driven R&D (A-STEP) [JPMJTM20CQ, 2020–2022].

The authors would like to thank Prof. Masatoshi Takeda and Prof. Takenori Komatsu of Osaka Kawasaki Rehabilitation University, Toshinobu Takeda, MD at the Jinmeikai Clinic, Yasuhiro Ohta and Takato Uratani of the Uratani Lab Company Ltd. for their kind contributions,

This paper is an extended version of the conference paper which has been presented at the 17th Conference on Computer Science and Intelligence Systems [30]. The authors also would like to thank the reviewers for their comments.

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Authors and Affiliations

  1. Tokyo Institute of Technology, Tokyo, Meguro, Japan

    Minoru Nakayama

  2. Wrocław University of Science and Technology, 50–370, Wrocław, Poland

    Wioletta Nowak & Anna Zarowska

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  1. Minoru Nakayama
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  2. Wioletta Nowak
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Correspondence to Minoru Nakayama .

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Editors and Affiliations

  1. University of Economics in Katowice, Katowice, Poland

    Ewa Ziemba

  2. University of Warsaw, Warsaw, Poland

    Witold Chmielarz

  3. University of Szczecin, Szczecin, Poland

    Jarosław Wątróbski

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Nakayama, M., Nowak, W., Zarowska, A. (2023). Symptoms of Dementia in Elderly Persons Using Waveform Features of Pupil Light Reflex. In: Ziemba, E., Chmielarz, W., Wątróbski, J. (eds) Information Technology for Management: Approaches to Improving Business and Society. FedCSIS-AIST ISM 2022 2022. Lecture Notes in Business Information Processing, vol 471. Springer, Cham. https://doi.org/10.1007/978-3-031-29570-6_5

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  • DOI: https://doi.org/10.1007/978-3-031-29570-6_5

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