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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...

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Detalles Bibliográficos
Autores principales: 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
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
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.
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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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