[HTML][HTML] IoT wearable sensors and devices in elderly care: A literature review

TG Stavropoulos, A Papastergiou, L Mpaltadoros… - Sensors, 2020 - mdpi.com
The increasing ageing global population is causing an upsurge in ailments related to old
age, primarily dementia and Alzheimer's disease, frailty, Parkinson's, and cardiovascular …

[HTML][HTML] The role of movement analysis in diagnosing and monitoring neurodegenerative conditions: Insights from gait and postural control

C Buckley, L Alcock, R McArdle, RZU Rehman… - Brain sciences, 2019 - mdpi.com
Quantifying gait and postural control adds valuable information that aids in understanding
neurological conditions where motor symptoms predominate and cause considerable …

A survey of deep learning for Alzheimer's disease

Q Zhou, J Wang, X Yu, S Wang, Y Zhang - Machine learning and …, 2023 - mdpi.com
Alzheimer's and related diseases are significant health issues of this era. The
interdisciplinary use of deep learning in this field has shown great promise and gathered …

Detection of mild cognitive impairment and Alzheimer's disease using dual-task gait assessments and machine learning

B Ghoraani, LN Boettcher, MD Hssayeni… - … signal processing and …, 2021 - Elsevier
Objective Early detection of mild cognitive impairment (MCI) and Alzheimer's disease (AD)
can increase access to treatment and assist in advance care planning. However, the …

Early alzheimer's disease diagnosis using wearable sensors and multilevel gait assessment: A machine learning ensemble approach

Y Jeon, J Kang, BC Kim, KH Lee, JI Song… - IEEE Sensors …, 2023 - ieeexplore.ieee.org
Alzheimer's disease (AD) is a progressive neurological disorder, and mild cognitive
impairment (MCI) is a stage between cognitive normal (CN) and AD. Although timely …

Digital biomarkers for the early detection of mild cognitive impairment: artificial intelligence meets virtual reality

S Cavedoni, A Chirico, E Pedroli… - Frontiers in human …, 2020 - frontiersin.org
Elderly people affected by Mild Cognitive Impairment (MCI) usually report a perceived
decline in cognitive functions that deeply impacts their quality of life. This subtle waning …

[HTML][HTML] Intelligent decision support systems for dementia care: A sco** review

AE Andargoli, N Ulapane, TA Nguyen… - Artificial Intelligence in …, 2024 - Elsevier
In the context of dementia care, Artificial Intelligence (AI) powered clinical decision support
systems have the potential to enhance diagnosis and management. However, the scope …

Eyetracking metrics in young onset Alzheimer's disease: a window into cognitive visual functions

IM Pavisic, NC Firth, S Parsons, DM Rego… - Frontiers in …, 2017 - frontiersin.org
Young onset Alzheimer's disease (YOAD) is defined as symptom onset before the age of 65
years and is particularly associated with phenotypic heterogeneity. Atypical presentations …

Sensor-based locomotion data mining for supporting the diagnosis of neurodegenerative disorders: A survey

S Zolfaghari, S Suravee, D Riboni… - ACM Computing …, 2023 - dl.acm.org
Locomotion characteristics and movement patterns are reliable indicators of
neurodegenerative diseases (NDDs). This survey provides a systematic literature review of …

A survey of artificial intelligence in gait-based neurodegenerative disease diagnosis

H Rao, M Zeng, X Zhao, C Miao - Neurocomputing, 2025 - Elsevier
Recent years have witnessed an increasing global population affected by
neurodegenerative diseases (NDs), which traditionally require extensive healthcare …