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

Olmo, Gabriella ; Demrozi, Florenc ; et al.

Basel: MDPI - Multidisciplinary Digital Publishing Institute, 2023

Online E-Book - 216

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View record at Directory of Open Access Books (Volltext)

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 reprint includes a collection of eleven research and review articles that propose wearable solutions and explore signal processing, machine learning, and deep learning approaches for the computerized diagnosis and monitoring of NDs. Topics covered include using wearable technology to measure blood pressure, movement, sleep patterns, and brain activity, and developing predictive models to support clinicians in making informed decisions about treatment and care. This reprint is a valuable resource for anyone interested in the potential of wearable technology to improve the diagnosis and management of NDs.

Titel:	Wearable Sensors for Supporting Diagnosis, Prognosis, and Monitoring of Neurodegenerative Diseases
Autor/in / Beteiligte Person:	Olmo, Gabriella ; Demrozi, Florenc ; Borzì, Luigi
Link:	View record at Directory of Open Access Books (Volltext)
Veröffentlichung:	Basel: MDPI - Multidisciplinary Digital Publishing Institute, 2023
Medientyp:	E-Book
Umfang:	216
ISBN:	978-3-0365-7225-3 (print) ; 978-3-0365-7224-6 (print)
DOI:	10.3390/books978-3-0365-7224-6
Schlagwort:	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 thema EDItEUR:T Technology, Engineering, Agriculture, Industrial processes:TB Technology: general issues
Sonstiges:	Nachgewiesen in: Directory of Open Access Books Sprachen: English Document Type: eBook File Description: image/jpeg Language: English Rights: Attribution 4.0 International ; URL: https://creativecommons.org/licenses/by/4.0/ Notes: ONIX_20230511_9783036572253_32

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