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

The Scientific World Journal

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