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The Filtering of the Posturographic Signals Shows the Age Related Features

Objective. Lower frequencies of slow oscillations of the posturographic signals can be removed using high-pass filtering. This procedure releases postural reflexes possessing higher frequencies and lower amplitude range. Mutual dependence between the x and y components of posturographic signals was...

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Autores principales: Michalak, Krzysztof Piotr, Przekoracka-Krawczyk, Anna, Nawrot, Paweł, Woźniak, Piotr, Vieregge, Peter
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi Publishing Corporation 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4281402/
https://www.ncbi.nlm.nih.gov/pubmed/25587563
http://dx.doi.org/10.1155/2014/403893
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author Michalak, Krzysztof Piotr
Przekoracka-Krawczyk, Anna
Nawrot, Paweł
Woźniak, Piotr
Vieregge, Peter
author_facet Michalak, Krzysztof Piotr
Przekoracka-Krawczyk, Anna
Nawrot, Paweł
Woźniak, Piotr
Vieregge, Peter
author_sort Michalak, Krzysztof Piotr
collection PubMed
description Objective. Lower frequencies of slow oscillations of the posturographic signals can be removed using high-pass filtering. This procedure releases postural reflexes possessing higher frequencies and lower amplitude range. Mutual dependence between the x and y components of posturographic signals was analyzed using principal component analysis (PCA). The posturographic signals of old patients with idiopathic gait disturbance were compared with the control group of similar age and with younger patients. There was also the analysis of the influence of the eyes state (open versus closed) and the head position (normal or bent back). The statistically significant differences in the mutual dependence between x and y components between the groups of patients were analyzed using MANOVA. The significant differences were observed mainly in the range of filter frequencies f = 0.1–1.5 Hz and f = 2.2–5.5 Hz with a maximum effect at approximately 4-5 Hz. A detailed post-hoc analysis is also presented. The differences in the higher frequency range suggest the main disturbance to be connected with the spinal reflexes. Visual and vestibular support appear insufficient for postural stability control in the idiopathic gait disturbance group. The results suggest that idiopathic gait disturbance is the final stage of the aging process of postural system.
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spelling pubmed-42814022015-01-13 The Filtering of the Posturographic Signals Shows the Age Related Features Michalak, Krzysztof Piotr Przekoracka-Krawczyk, Anna Nawrot, Paweł Woźniak, Piotr Vieregge, Peter ScientificWorldJournal Research Article Objective. Lower frequencies of slow oscillations of the posturographic signals can be removed using high-pass filtering. This procedure releases postural reflexes possessing higher frequencies and lower amplitude range. Mutual dependence between the x and y components of posturographic signals was analyzed using principal component analysis (PCA). The posturographic signals of old patients with idiopathic gait disturbance were compared with the control group of similar age and with younger patients. There was also the analysis of the influence of the eyes state (open versus closed) and the head position (normal or bent back). The statistically significant differences in the mutual dependence between x and y components between the groups of patients were analyzed using MANOVA. The significant differences were observed mainly in the range of filter frequencies f = 0.1–1.5 Hz and f = 2.2–5.5 Hz with a maximum effect at approximately 4-5 Hz. A detailed post-hoc analysis is also presented. The differences in the higher frequency range suggest the main disturbance to be connected with the spinal reflexes. Visual and vestibular support appear insufficient for postural stability control in the idiopathic gait disturbance group. The results suggest that idiopathic gait disturbance is the final stage of the aging process of postural system. Hindawi Publishing Corporation 2014 2014-12-17 /pmc/articles/PMC4281402/ /pubmed/25587563 http://dx.doi.org/10.1155/2014/403893 Text en Copyright © 2014 Krzysztof Piotr Michalak et al. https://creativecommons.org/licenses/by/3.0/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Michalak, Krzysztof Piotr
Przekoracka-Krawczyk, Anna
Nawrot, Paweł
Woźniak, Piotr
Vieregge, Peter
The Filtering of the Posturographic Signals Shows the Age Related Features
title The Filtering of the Posturographic Signals Shows the Age Related Features
title_full The Filtering of the Posturographic Signals Shows the Age Related Features
title_fullStr The Filtering of the Posturographic Signals Shows the Age Related Features
title_full_unstemmed The Filtering of the Posturographic Signals Shows the Age Related Features
title_short The Filtering of the Posturographic Signals Shows the Age Related Features
title_sort filtering of the posturographic signals shows the age related features
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4281402/
https://www.ncbi.nlm.nih.gov/pubmed/25587563
http://dx.doi.org/10.1155/2014/403893
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