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Fifteen Years of Wireless Sensors for Balance Assessment in Neurological Disorders
Balance impairment is a major mechanism behind falling along with environmental hazards. Under physiological conditions, ageing leads to a progressive decline in balance control per se. Moreover, various neurological disorders further increase the risk of falls by deteriorating specific nervous syst...
Autores principales: | , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7308812/ https://www.ncbi.nlm.nih.gov/pubmed/32517315 http://dx.doi.org/10.3390/s20113247 |
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author | Zampogna, Alessandro Mileti, Ilaria Palermo, Eduardo Celletti, Claudia Paoloni, Marco Manoni, Alessandro Mazzetta, Ivan Dalla Costa, Gloria Pérez-López, Carlos Camerota, Filippo Leocani, Letizia Cabestany, Joan Irrera, Fernanda Suppa, Antonio |
author_facet | Zampogna, Alessandro Mileti, Ilaria Palermo, Eduardo Celletti, Claudia Paoloni, Marco Manoni, Alessandro Mazzetta, Ivan Dalla Costa, Gloria Pérez-López, Carlos Camerota, Filippo Leocani, Letizia Cabestany, Joan Irrera, Fernanda Suppa, Antonio |
author_sort | Zampogna, Alessandro |
collection | PubMed |
description | Balance impairment is a major mechanism behind falling along with environmental hazards. Under physiological conditions, ageing leads to a progressive decline in balance control per se. Moreover, various neurological disorders further increase the risk of falls by deteriorating specific nervous system functions contributing to balance. Over the last 15 years, significant advancements in technology have provided wearable solutions for balance evaluation and the management of postural instability in patients with neurological disorders. This narrative review aims to address the topic of balance and wireless sensors in several neurological disorders, including Alzheimer’s disease, Parkinson’s disease, multiple sclerosis, stroke, and other neurodegenerative and acute clinical syndromes. The review discusses the physiological and pathophysiological bases of balance in neurological disorders as well as the traditional and innovative instruments currently available for balance assessment. The technical and clinical perspectives of wearable technologies, as well as current challenges in the field of teleneurology, are also examined. |
format | Online Article Text |
id | pubmed-7308812 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-73088122020-06-25 Fifteen Years of Wireless Sensors for Balance Assessment in Neurological Disorders Zampogna, Alessandro Mileti, Ilaria Palermo, Eduardo Celletti, Claudia Paoloni, Marco Manoni, Alessandro Mazzetta, Ivan Dalla Costa, Gloria Pérez-López, Carlos Camerota, Filippo Leocani, Letizia Cabestany, Joan Irrera, Fernanda Suppa, Antonio Sensors (Basel) Review Balance impairment is a major mechanism behind falling along with environmental hazards. Under physiological conditions, ageing leads to a progressive decline in balance control per se. Moreover, various neurological disorders further increase the risk of falls by deteriorating specific nervous system functions contributing to balance. Over the last 15 years, significant advancements in technology have provided wearable solutions for balance evaluation and the management of postural instability in patients with neurological disorders. This narrative review aims to address the topic of balance and wireless sensors in several neurological disorders, including Alzheimer’s disease, Parkinson’s disease, multiple sclerosis, stroke, and other neurodegenerative and acute clinical syndromes. The review discusses the physiological and pathophysiological bases of balance in neurological disorders as well as the traditional and innovative instruments currently available for balance assessment. The technical and clinical perspectives of wearable technologies, as well as current challenges in the field of teleneurology, are also examined. MDPI 2020-06-07 /pmc/articles/PMC7308812/ /pubmed/32517315 http://dx.doi.org/10.3390/s20113247 Text en © 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Review Zampogna, Alessandro Mileti, Ilaria Palermo, Eduardo Celletti, Claudia Paoloni, Marco Manoni, Alessandro Mazzetta, Ivan Dalla Costa, Gloria Pérez-López, Carlos Camerota, Filippo Leocani, Letizia Cabestany, Joan Irrera, Fernanda Suppa, Antonio Fifteen Years of Wireless Sensors for Balance Assessment in Neurological Disorders |
title | Fifteen Years of Wireless Sensors for Balance Assessment in Neurological Disorders |
title_full | Fifteen Years of Wireless Sensors for Balance Assessment in Neurological Disorders |
title_fullStr | Fifteen Years of Wireless Sensors for Balance Assessment in Neurological Disorders |
title_full_unstemmed | Fifteen Years of Wireless Sensors for Balance Assessment in Neurological Disorders |
title_short | Fifteen Years of Wireless Sensors for Balance Assessment in Neurological Disorders |
title_sort | fifteen years of wireless sensors for balance assessment in neurological disorders |
topic | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7308812/ https://www.ncbi.nlm.nih.gov/pubmed/32517315 http://dx.doi.org/10.3390/s20113247 |
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