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 …
age, primarily dementia and Alzheimer's disease, frailty, Parkinson's, and cardiovascular …
The role of movement analysis in diagnosing and monitoring neurodegenerative conditions: Insights from gait and postural control
Quantifying gait and postural control adds valuable information that aids in understanding
neurological conditions where motor symptoms predominate and cause considerable …
neurological conditions where motor symptoms predominate and cause considerable …
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 …
can increase access to treatment and assist in advance care planning. However, the …
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 …
interdisciplinary use of deep learning in this field has shown great promise and gathered …
Digital biomarkers for the early detection of mild cognitive impairment: artificial intelligence meets virtual reality
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 …
decline in cognitive functions that deeply impacts their quality of life. This subtle waning …
Eyetracking metrics in young onset Alzheimer's disease: a window into cognitive visual functions
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 …
years and is particularly associated with phenotypic heterogeneity. Atypical presentations …
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 …
impairment (MCI) is a stage between cognitive normal (CN) and AD. Although timely …
Sensors and algorithms for locomotion intention detection of lower limb exoskeletons
D Wang, X Gu, H Yu - Medical Engineering & Physics, 2023 - Elsevier
In recent years, lower limb exoskeletons (LLEs) have received much attention due to the
potential to help people with paraplegia regain the ability of upright-legged locomotion …
potential to help people with paraplegia regain the ability of upright-legged locomotion …
[HTML][HTML] Use of nonintrusive sensor-based information and communication technology for real-world evidence for clinical trials in dementia
Cognitive function is an important end point of treatments in dementia clinical trials.
Measuring cognitive function by standardized tests, however, is biased toward highly …
Measuring cognitive function by standardized tests, however, is biased toward highly …
Intelligent decision support systems for dementia care: A scoping review
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 …
systems have the potential to enhance diagnosis and management. However, the scope …