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[HTML][HTML] IoT wearable sensors and devices in elderly care: A literature review
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 …
[HTML][HTML] 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 …
A survey of deep learning for Alzheimer's disease
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 …
Detection of mild cognitive impairment and Alzheimer's disease using dual-task gait assessments and machine learning
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 …
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 …
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 …
[HTML][HTML] Intelligent decision support systems for dementia care: A sco** 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 …
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 …
Sensor-based locomotion data mining for supporting the diagnosis of neurodegenerative disorders: A survey
Locomotion characteristics and movement patterns are reliable indicators of
neurodegenerative diseases (NDDs). This survey provides a systematic literature review of …
neurodegenerative diseases (NDDs). This survey provides a systematic literature review of …
A survey of artificial intelligence in gait-based neurodegenerative disease diagnosis
Recent years have witnessed an increasing global population affected by
neurodegenerative diseases (NDs), which traditionally require extensive healthcare …
neurodegenerative diseases (NDs), which traditionally require extensive healthcare …