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

© 2022 by the authors; CC BY-NC-ND license

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; Parkinson’s disease; SVM; Parkinson’s disease; bradykinesia; wearables; inertial sensors; artificial intelligence; deep learning; Internet of Things; trust management; healthcare; digital revolution; edge clouds; security; privacy preservation; Parkinson’s disease; neurological disorders; wearable sensors; frequency harmonics; gait analysis; gait impairments; gait; harmonic ratio (HR); smoothness; symmetry; older adults; inertial sensor; biofeedback; wearable sensors; neurodegenerative diseases; movement anticipation; machine learning; rs-fMRI; classifications; high-order neuro-dynamic functional network; deep learning; Alzheimer’s disease; neurodegenerative diseases; sleep monitoring; sleep disorders; Parkinson disease; dementia; Alzheimer Disease; wearable sensors; inertial sensors; video analysis; Internet of Things; n/a