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Wearable Sensors for Supporting Diagnosis, Prognosis, and Monitoring of Neurodegenerative Diseases

Neurodegenerative disorders (NDs) are becoming more prevalent in our aging population, and traditional methods of monitoring ND symptoms can be challenging. Wearable technology offers several advantages, such as continuous monitoring, objective measurements, and remote monitoring. The present reprin...

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Salvato in:
Natura: Online
Lingua:inglese
Pubblicazione: MDPI - Multidisciplinary Digital Publishing Institute 2023
Soggetti:
gait analysis
Parkinson’s disease
convolutional neural networks
gate recurrent units
deep learning
cardiovascular diseases
blood pressure
hypertension
photoplethysmography
artificial neural networks
neurodegenerative disease
remote monitoring
telemonitoring
wearable sensor
Parkinson’s Disease
image processing
hypomimia
FE
classic techniques
machine learning
ANN
KNN
machine learning (ML)
naïve Bayes classification
SVM
bradykinesia
wearables
inertial sensors
artificial intelligence
Internet of Things
trust management
healthcare
digital revolution
edge clouds
security
privacy preservation
neurological disorders
wearable sensors
frequency harmonics
gait impairments
gait
harmonic ratio (HR)
smoothness
symmetry
older adults
inertial sensor
biofeedback
neurodegenerative diseases
movement anticipation
rs-fMRI
classifications
high-order neuro-dynamic functional network
Alzheimer’s disease
sleep monitoring
sleep disorders
Parkinson disease
dementia
Alzheimer Disease
video analysis
n/a
thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues
Accesso online:ONIX_20230511_9783036572253_32
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