2022
DOI: 10.15439/2022f17
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Detecting Symptoms of Dementia in Elderly Persons using Features of Pupil Light Reflex

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 wav… Show more

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Cited by 5 publications
(7 citation statements)
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“…Aufbauend auf ihren im Vorjahr präsentierten Indikatoren der Augenmotoren, welche sich bei Demenzerkrankten signifikant von der Kontrollgruppe unterscheiden, untersuchten sie nun die Pupillenlichtreflexe. Dabei konnte u. a. die Abhängigkeit der Faktorwerte für blaue Lichtimpulse vom Alter der Teilnehmenden bestätigt werden (Nakayama, Nowak & Zarowska, 2022).…”
Section: Abschlussarbeitenunclassified
“…Aufbauend auf ihren im Vorjahr präsentierten Indikatoren der Augenmotoren, welche sich bei Demenzerkrankten signifikant von der Kontrollgruppe unterscheiden, untersuchten sie nun die Pupillenlichtreflexe. Dabei konnte u. a. die Abhängigkeit der Faktorwerte für blaue Lichtimpulse vom Alter der Teilnehmenden bestätigt werden (Nakayama, Nowak & Zarowska, 2022).…”
Section: Abschlussarbeitenunclassified
“…Pupil diameters of both eyes were measured for 10 sec. in a temporal darkened space under the following conditions [14].…”
Section: A Measuring Pupil Reactionsmentioning
confidence: 99%
“…Factor Score A typical PLR reaction is illustrated in Figure 2, and several features of waveforms were extracted, as shown in Table I, which shows variable names and their short descriptions [3], [14]. The latent factors were extracted using factor analysis, and the contribution ratio is 45.5%.…”
Section: Plr Waveforms and Feature Extractionmentioning
confidence: 99%
See 1 more Smart Citation
“…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.…”
mentioning
confidence: 99%