Advances in multimodal behavioral analytics for early dementia diagnosis: A review

C Palliya Guruge, S Oviatt, P Delir Haghighi… - Proceedings of the …, 2021 - dl.acm.org
Clinical diagnosis of dementia is typically delayed and limited in accuracy, despite
assessing cognitive impairments through neurological exams, brain imaging, and functional …

Visual features in Alzheimer's disease: from basic mechanisms to clinical overview

MA Cerquera-Jaramillo, MO Nava-Mesa… - Neural …, 2018 - Wiley Online Library
Alzheimer's disease (AD) is the leading cause of dementia worldwide. It compromises
patients' daily activities owing to progressive cognitive deterioration, which has elevated …

Disease classification based on eye movement features with decision tree and random forest

Y Mao, Y He, L Liu, X Chen - Frontiers in neuroscience, 2020 - frontiersin.org
Medical research shows that eye movement disorders are related to many kinds of
neurological diseases. Eye movement characteristics can be used as biomarkers of …

Affective computing for late-life mood and cognitive disorders

E Smith, EA Storch, I Vahia, STC Wong… - Frontiers in …, 2021 - frontiersin.org
Affective computing (also referred to as artificial emotion intelligence or emotion AI) is the
study and development of systems and devices that can recognize, interpret, process, and …

Computational techniques for eye movements analysis towards supporting early diagnosis of Alzheimer's disease: a review

J Beltrán, MS García-Vázquez… - … methods in medicine, 2018 - Wiley Online Library
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 …

[HTML][HTML] Globalising strategies to meet global challenges: the case of ageing and dementia

MA Parra, S Butler, WJ McGeown… - Journal of global …, 2019 - ncbi.nlm.nih.gov
December 2019• Vol. 9 No. 2• 020310 2 www. jogh. org• doi: 10.7189/jogh. 09.020310 ing
in the opposite direction, with LMIC tending to exhibit increasing cardiovascular risk …

Low-level factors increase gaze-guidance under cognitive load: A comparison of image-salience and semantic-salience models

K Walter, P Bex - Plos one, 2022 - journals.plos.org
Growing evidence links eye movements and cognitive functioning, however there is debate
concerning what image content is fixated in natural scenes. Competing approaches have …

Leveraging IoT wearable technology towards early diagnosis of neurological diseases

A Sciarrone, I Bisio, C Garibotto… - IEEE Journal on …, 2020 - ieeexplore.ieee.org
The leading trends in the framework of the Internet of Things are driving the research
community to provide smart systems and solutions aimed at revolutionizing medical …

A review of biomarkers of Alzheimer's disease in noninvasive samples

S Hartmann, TB Ledur Kist - Biomarkers in Medicine, 2018 - Taylor & Francis
The discovery of biomarkers that confer high confidence of presymptomatic Alzheimer's
disease (AD) diagnosis would be a valuable tool to study the etiology of the disease, to find …

Detection of oculomotor dysmetria from mobile phone video of the horizontal saccades task using signal processing and machine learning approaches

H Azami, Z Chang, SE Arnold, G Sapiro… - IEEE access, 2022 - ieeexplore.ieee.org
Eye movement assessments have the potential to help in diagnosis and tracking of
neurological disorders. Cerebellar ataxias cause profound and characteristic abnormalities …