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

• Other Authors: Olmo, Gabriella (Editor), Demrozi, Florenc (Editor), Borzì, Luigi (Editor)
• Format: Electronic Book Chapter
• Language: English
• Published: Basel MDPI - Multidisciplinary Digital Publishing Institute 2023
• Subjects: Technology: general issues; 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
• Online Access: DOAB: download the publication; DOAB: description of the publication

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...