Application of eye tracking in medicine: A survey, research issues and challenges

K Harezlak, P Kasprowski - Computerized Medical Imaging and Graphics, 2018 - Elsevier
The performance and quality of medical procedures and treatments are inextricably linked to
technological development. The application of more advanced techniques provides the …

Saccadic eye movement in mild cognitive impairment and Alzheimer's disease: a systematic review and meta-analysis

J Opwonya, DNT Doan, SG Kim, JI Kim, B Ku… - Neuropsychology …, 2022 - Springer
Alzheimer's disease (AD) is the leading cause of dementia, and mild cognitive impairment
(MCI) is considered the transitional state to AD dementia (ADD) and other types of dementia …

Eye movements in Alzheimer's disease

RJ Molitor, PC Ko, BA Ally - Journal of Alzheimer's disease, 2015 - content.iospress.com
A growing body of literature has investigated changes in eye movements as a result of
Alzheimer's disease (AD). When compared to healthy, age-matched controls, patients …

The effectiveness of eye tracking in the diagnosis of cognitive disorders: A systematic review and meta-analysis

Z Liu, Z Yang, Y Gu, H Liu, P Wang - PloS one, 2021 - journals.plos.org
Background Eye tracking (ET) is a viable marker for the recognition of cognitive disorders.
We assessed the accuracy and clinical value of ET for the diagnosis of cognitive disorders in …

On the early diagnosis of Alzheimer's Disease from multimodal signals: A survey

A Alberdi, A Aztiria, A Basarab - Artificial intelligence in medicine, 2016 - Elsevier
Abstract Introduction The number of Alzheimer's Disease (AD) patients is increasing with
increased life expectancy and 115.4 million people are expected to be affected in 2050 …

Cognitive load measurement in a virtual reality-based driving system for autism intervention

L Zhang, J Wade, D Bian, J Fan… - IEEE transactions on …, 2017 - ieeexplore.ieee.org
Autism Spectrum Disorder (ASD) is a highly prevalent neurodevelopmental disorder with
enormous individual and social cost. In this paper, a novel virtual reality (VR)-based driving …

Scanpath modeling and classification with hidden Markov models

A Coutrot, JH Hsiao, AB Chan - Behavior research methods, 2018 - Springer
How people look at visual information reveals fundamental information about them; their
interests and their states of mind. Previous studies showed that scanpath, ie, the sequence …

Alzheimer's disease: A clinical perspective and future nonhuman primate research opportunities

RU Haque, AI Levey - … of the national Academy of Sciences, 2019 - National Acad Sciences
Alzheimer's disease (AD) is a progressive neurodegenerative disorder that is the sixth
leading cause of death and the most common cause of dementia worldwide. Over the last …

Machine learning and eye movements give insights into neurodegenerative disease mechanisms

AW Przybyszewski, A Śledzianowski, A Chudzik… - Sensors, 2023 - mdpi.com
Humans are a vision-dominated species; what we perceive depends on where we look.
Therefore, eye movements (EMs) are essential to our interactions with the environment, and …

Classification of mild cognitive impairment based on handwriting dynamics and qEEG

J Chai, R Wu, A Li, C Xue, Y Qiang, J Zhao… - Computers in biology …, 2023 - Elsevier
Subtle changes in fine motor control and quantitative electroencephalography (qEEG) in
patients with mild cognitive impairment (MCI) are important in screening for early dementia …