Digital biomarkers for Alzheimer's disease: the mobile/wearable devices opportunity
Alzheimer's Disease (AD) represents a major and rapidly growing burden to the healthcare
ecosystem. A growing body of evidence indicates that cognitive, behavioral, sensory, and …
ecosystem. A growing body of evidence indicates that cognitive, behavioral, sensory, and …
Artificial intelligence in neurodegenerative diseases: A review of available tools with a focus on machine learning techniques
Neurodegenerative diseases have shown an increasing incidence in the older population in
recent years. A significant amount of research has been conducted to characterize these …
recent years. A significant amount of research has been conducted to characterize these …
Saccadic eye movement in mild cognitive impairment and Alzheimer's disease: a systematic review and meta-analysis
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 …
(MCI) is considered the transitional state to AD dementia (ADD) and other types of dementia …
Eye tracking metrics to screen and assess cognitive impairment in patients with neurological disorders
L Tao, Q Wang, D Liu, J Wang, Z Zhu, L Feng - Neurological Sciences, 2020 - Springer
Purpose of review Eye tracking is a powerful method to investigate the relationship between
behavior and neural mechanisms. In recent years, eye movement analysis has been used in …
behavior and neural mechanisms. In recent years, eye movement analysis has been used in …
Eye tracking based dyslexia detection using a holistic approach
B Nerušil, J Polec, J Škunda, J Kačur - Scientific Reports, 2021 - nature.com
A new detection method for cognitive impairments is presented utilizing an eye tracking
signals in a text reading test. This research enhances published articles that extract …
signals in a text reading test. This research enhances published articles that extract …
Novel method for rapid assessment of cognitive impairment using high-performance eye-tracking technology
A Oyama, S Takeda, Y Ito, T Nakajima, Y Takami… - Scientific reports, 2019 - nature.com
A rapid increase in the number of patients with dementia has emerged as a global health
challenge. Accumulating evidence suggests that early diagnosis and timely intervention can …
challenge. Accumulating evidence suggests that early diagnosis and timely intervention can …
Eye tracking–The overlooked method to measure cognition in neurodegeneration?
Eye tracking (ET) studies are becoming increasingly popular due to rapid methodological
and technological advances as well as the development of cost efficient and portable eye …
and technological advances as well as the development of cost efficient and portable eye …
A review of artificial intelligence methods for Alzheimer's disease diagnosis: Insights from neuroimaging to sensor data analysis
Alzheimer's disease is the most common cause of dementia, gradually impairing memory,
intellectual, learning, and organizational capacities. An individual's capacity to perform …
intellectual, learning, and organizational capacities. An individual's capacity to perform …
Classification of Alzheimer's disease with deep learning on eye-tracking data
Existing research has shown the potential of classifying Alzheimer's Disease (AD) from eye-
tracking (ET) data with classifiers that rely on task-specific engineered features. In this paper …
tracking (ET) data with classifiers that rely on task-specific engineered features. In this paper …
Augmenting dementia cognitive assessment with instruction-less eye-tracking tests
Eye-tracking technology is an innovative tool that holds promise for enhancing dementia
screening. In this work, we introduce a novel way of extracting salient features directly from …
screening. In this work, we introduce a novel way of extracting salient features directly from …