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PL
Badanie reaktywności źrenicy oka, nazywane pupillometrią, jest bardzo dynamicznie rozwijającym się obszarem badań podstawowych i aplikacyjnych. Celem niniejszego artykułu jest przybliżenie czytelnikowi zasady pomiaru, budowy urządzeń pomiarowych, metod analizy sygnałów oraz niektórych praktycznych zastosowań pupillometrii.
EN
The study of eye pupil reactivity, called pupillometry, is a very dynamically developing area of basic and applied research. The aim of this article is to familiarize the reader with the principles of measurement, the construction of measuring devices, signal analysis methods and some practical applications of pupillometry.
EN
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.
3
Content available remote Classification of Alzheimer's disease patients using metrics of oculo-motors
EN
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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