Deep learning-based speech analysis for Alzheimer's disease detection: a literature review

Q Yang, X Li, X Ding, F Xu, Z Ling - Alzheimer's Research & Therapy, 2022 - Springer
Background Alzheimer's disease has become one of the most common neurodegenerative
diseases worldwide, which seriously affects the health of the elderly. Early detection and …

A Review of Deep Learning Approaches for Non-Invasive Cognitive Impairment Detection

M Alsuhaibani, AP Fard, J Sun, FF Poor… - arXiv preprint arXiv …, 2024 - arxiv.org
This review paper explores recent advances in deep learning approaches for non-invasive
cognitive impairment detection. We examine various non-invasive indicators of cognitive …

The effectiveness of facial expression recognition in detecting emotional responses to sound interventions in older adults with dementia

Y Liu, Z Wang, G Yu - Frontiers in psychology, 2021 - frontiersin.org
This research uses facial expression recognition software (FaceReader) to explore the
influence of different sound interventions on the emotions of older people with dementia …

[PDF][PDF] A Pre-trained Neural Network to Predict Alzheimer's Disease at an Early Stage

R Davuluri, R Rengaswamy - International Journal of Advanced …, 2022 - academia.edu
Alzheimer's disease (AD), which is a neuro associated disease, has become a common for
past few years. In this competitive world, individual has to perform lot of multi tasking to …

[PDF][PDF] Deep learning-based speech analysis for Alzheimer's disease detection: a literature

Q Yang, X Li, X Ding, F Xu, Z Ling - 2022 - alzres.biomedcentral.com
Background: Alzheimer's disease has become one of the most common neurodegenerative
diseases worldwide, which seriously affects the health of the elderly. Early detection and …