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The Filtering of the Posturographic Signals Shows the Age Related Features
Joint Authors
Michalak, Krzysztof Piotr
Przekoracka-Krawczyk, Anna
Nawrot, Paweł
Woźniak, Piotr
Vieregge, Peter
Source
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-9, 9 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-12-17
Country of Publication
Egypt
No. of Pages
9
Main Subjects
Medicine
Information Technology and Computer Science
Abstract EN
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.
American Psychological Association (APA)
Michalak, Krzysztof Piotr& Przekoracka-Krawczyk, Anna& Nawrot, Paweł& Woźniak, Piotr& Vieregge, Peter. 2014. The Filtering of the Posturographic Signals Shows the Age Related Features. The Scientific World Journal،Vol. 2014, no. 2014, pp.1-9.
https://search.emarefa.net/detail/BIM-1049482
Modern Language Association (MLA)
Michalak, Krzysztof Piotr…[et al.]. The Filtering of the Posturographic Signals Shows the Age Related Features. The Scientific World Journal No. 2014 (2014), pp.1-9.
https://search.emarefa.net/detail/BIM-1049482
American Medical Association (AMA)
Michalak, Krzysztof Piotr& Przekoracka-Krawczyk, Anna& Nawrot, Paweł& Woźniak, Piotr& Vieregge, Peter. The Filtering of the Posturographic Signals Shows the Age Related Features. The Scientific World Journal. 2014. Vol. 2014, no. 2014, pp.1-9.
https://search.emarefa.net/detail/BIM-1049482
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1049482