Jurnal Tekinkom (Teknik Informasi dan Komputer)
Vol 7 No 2 (2024)

ANALISIS GERAKAN MATA UNTUK DETEKSI ALZHEIMER: STUDI KOMPARATIF LIMA METODE UTAMA

Ziegel, Dennis Jusuf (Unknown)
Indra, Evta (Unknown)



Article Info

Publish Date
31 Dec 2024

Abstract

In the digital era, eye-tracking technology has emerged as a valuable non-invasive tool for assessing neurological and cognitive functions. This review explores five key methods for evaluating Alzheimer’s Disease (AD) using eye-tracking: fixation and saccade analysis, pupil size measurement, task-specific eye-tracking, reading task analysis, and novelty preference scores. Fixation and saccade metrics reveal significant disruptions in visual scanning and information processing in AD patients, characterized by longer fixation durations and reduced saccade frequency. Pupil size measurements indicate diminished cognitive load and emotional responsiveness. Task-specific eye-tracking, including tasks such as image description, shows difficulties in maintaining focus and interpreting visual stimuli. Reading task analysis highlights increased fixation durations and backward saccades, reflecting challenges in text comprehension and information retention. Novelty preference scores suggest reduced interest in new stimuli, correlating with cognitive decline. These findings underscore the potential of eye-tracking metrics for early detection and monitoring of AD, though variability in eye movement patterns and additional factors like sleep disorders emphasize the need for comprehensive diagnostic approaches.

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Journal Info

Abbrev

Tekinkom

Publisher

Subject

Computer Science & IT

Description

Jurnal TEKINKOM merupakan jurnal yang dimaksudkan sebagai media terbitan kajian ilmiah hasil penelitian, pemikiran dan kajian analisis-kritis mengenai isu Ilmu - ilmu komputer dan sistem informasi, seperti : Pemrograman Jaringan, Jaringan Komputer, Teknik Komputer, Ilmu Komputer/Informatika, Sistem ...