TY - JOUR
T1 - Computational Techniques for Eye Movements Analysis towards Supporting Early Diagnosis of Alzheimer's Disease
T2 - A Review
AU - Beltrán, Jessica
AU - García-Vázquez, Mireya S.
AU - Benois-Pineau, Jenny
AU - Gutierrez-Robledo, Luis Miguel
AU - Dartigues, Jean François
N1 - Publisher Copyright:
© 2018 Jessica Beltrán et al.
PY - 2018
Y1 - 2018
N2 - An opportune early diagnosis of Alzheimer's disease (AD) would help to overcome symptoms and improve the quality of life for AD patients. Research studies have identified early manifestations of AD that occur years before the diagnosis. For instance, eye movements of people with AD in different tasks differ from eye movements of control subjects. In this review, we present a summary and evolution of research approaches that use eye tracking technology and computational analysis to measure and compare eye movements under different tasks and experiments. Furthermore, this review is targeted to the feasibility of pioneer work on developing computational tools and techniques to analyze eye movements under naturalistic scenarios. We describe the progress in technology that can enhance the analysis of eye movements everywhere while subjects perform their daily activities and give future research directions to develop tools to support early AD diagnosis through analysis of eye movements.
AB - An opportune early diagnosis of Alzheimer's disease (AD) would help to overcome symptoms and improve the quality of life for AD patients. Research studies have identified early manifestations of AD that occur years before the diagnosis. For instance, eye movements of people with AD in different tasks differ from eye movements of control subjects. In this review, we present a summary and evolution of research approaches that use eye tracking technology and computational analysis to measure and compare eye movements under different tasks and experiments. Furthermore, this review is targeted to the feasibility of pioneer work on developing computational tools and techniques to analyze eye movements under naturalistic scenarios. We describe the progress in technology that can enhance the analysis of eye movements everywhere while subjects perform their daily activities and give future research directions to develop tools to support early AD diagnosis through analysis of eye movements.
UR - http://www.scopus.com/inward/record.url?scp=85048187109&partnerID=8YFLogxK
U2 - 10.1155/2018/2676409
DO - 10.1155/2018/2676409
M3 - Artículo de revisión
C2 - 29887912
SN - 1748-670X
VL - 2018
JO - Computational and Mathematical Methods in Medicine
JF - Computational and Mathematical Methods in Medicine
M1 - 2676409
ER -