Detecting Alzheimer’s Patients using Features in Differential Waveforms of Pupil Light Reflex for Chromatic Stimuli

Nakayama, Minoru and Nowak, Wioletta and Krecicki, Tomasz (2024) Detecting Alzheimer’s Patients using Features in Differential Waveforms of Pupil Light Reflex for Chromatic Stimuli. EAI Endorsed Transactions on Intelligent Systems and Machine Learning.

[thumbnail of 70420.pdf] PDF
70420.pdf

Download (1MB)

Abstract

A procedure to detect irregular signal responses to pupil light reflex (PLR) was developed to detect Alzheimer’s Disease (AD) using a functional data analysis (FDA) technique and classification with an Elastic Net. In considering the differences in features of PLRs between AD and normal control (NC)

Item Type: Article
Date Deposited: 04 Mar 2026 18:10
Last Modified: 11 Apr 2026 00:36
URI: http://eprints.eai.eu/id/eprint/51427

Actions (login required)

View Item
View Item