Detection procedures for Patients of Alzheimer’s Disease using Waveform Features of Pupil Light Reflex in response to Chromatic Stimuli

Nowak, Wioletta; Nakayama, Minoru; Kręcicki, Tomasz; Hachoł, A.

doi:10.4108/eai.17-12-2020.167656

Cited by 5 publications

(17 citation statements)

References 17 publications

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“…The factor scores for blue but not red light pulses were selected once more for use in a regression model, following a stepwise procedure. The dominance of blue light pulses for the prediction was confirmed in a previous study [11], [12]. The possible reason for this may be based on the first hypothesis, which could not be confirmed according to the above evaluation, however.…”

Section: Discussionmentioning

confidence: 73%

“…Some typical features are observed such as deviation during the restoration process after the constriction. Several features of waveforms were extracted in order to compare groups of participants in relation to the previous study [12] as shown in Table I. The first hypothesis is that there is a feature difference between the left and right eyes when light pulses are directed at either eye.…”

Section: A Plr Waveformsmentioning

confidence: 99%

“…Since every feature includes measurement errors and individual differences, the latent factors are extracted using factor analysis according to the method used in the previous study [12].…”

Section: B Factor Analysis and Factor Scoresmentioning

confidence: 99%

“…The factors of stimulus light wavelength and the age of patient were significant and are the major components of the deviation. In order to examine the effectiveness of the extracted features for a prediction of cognitive function impairment, an estimation procedure using a logistic analysis which had been introduced in a previous study [12] was conducted. Here, both MCI and AD patients are merged as the "AD+MCI" group since the number of MCI participants is limited.…”

Section: B Factor Analysis and Factor Scoresmentioning

confidence: 99%

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Detecting Symptoms of Dementia in Elderly Persons using Features of Pupil Light Reflex

Nakayama¹,

Nowak²,

Zarowska³

2022

Annals of Computer Science and Information Systems

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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.

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Section: Discussionmentioning

confidence: 73%

Section: A Plr Waveformsmentioning

confidence: 99%

“…Since every feature includes measurement errors and individual differences, the latent factors are extracted using factor analysis according to the method used in the previous study [12].…”

Section: B Factor Analysis and Factor Scoresmentioning

confidence: 99%

Section: B Factor Analysis and Factor Scoresmentioning

confidence: 99%

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Detecting Symptoms of Dementia in Elderly Persons using Features of Pupil Light Reflex

Nakayama¹,

Nowak²,

Zarowska³

2022

Annals of Computer Science and Information Systems

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“…Changes in the level of cognitive activity and mental workload handling ability are often assessed using pupillary changes [2], [3], [4]. The symptoms of AD and aged macular disease (AMD) are also detected using pupillary reactions to the pupil light reflex (PLR) [5], [6], [7].…”

Section: Introductionmentioning

confidence: 99%

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

Nowak

Nakayama

Trypka

et al. 2021

Annals of Computer Science and Information Systems

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Ocular information was observed during a set of dementia tests involving participants with Alzheimer's Disease (AD), with a mild level of cognitive impairment (MCI), or in a control group. The number of participants was 26. Features of changes in pupil size and in the central position of both eyes of participants of all three types were compared. There are significant differences in some of the metrics between the types, in 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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Symptoms of Dementia in Elderly Persons Using Waveform Features of Pupil Light Reflex

Nakayama¹,

Nowak²,

Zarowska³

2023

Lecture Notes in Business Information Processing

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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.

show abstract

Detection procedures for Patients of Alzheimer’s Disease using Waveform Features of Pupil Light Reflex in response to Chromatic Stimuli

Cited by 5 publications

References 17 publications

Detecting Symptoms of Dementia in Elderly Persons using Features of Pupil Light Reflex

Detecting Symptoms of Dementia in Elderly Persons using Features of Pupil Light Reflex

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

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

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