Quantification of Trunk Postural Stability Using Convex Polyhedron of the Time-Series Accelerometer Data

Joint Authors

Svoboda, Zdenek
Melecky, Roman
Socha, Vladimir
Kutilek, Patrik
Hanakova, Lenka
Takac, Peter
Schlenker, Jakub

Source

Journal of Healthcare Engineering

Issue

Vol. 2016, Issue 2016 (31 Dec. 2016), pp.1-9, 9 p.

Publisher

Hindawi Publishing Corporation

Publication Date

2016-04-20

Country of Publication

Egypt

No. of Pages

9

Main Subjects

Public Health
Medicine

Abstract EN

Techniques to quantify postural stability usually rely on the evaluation of only two variables, that is, two coordinates of COP.

However, by using three variables, that is, three components of acceleration vector, it is possible to describe human movement more precisely.

For this purpose, a single three-axis accelerometer was used, making it possible to evaluate 3D movement by use of a novel method, convex polyhedron (CP), together with a traditional method, based on area of the confidence ellipse (ACE).

Ten patients (Pts) with cerebellar ataxia and eleven healthy individuals of control group (CG) participated in the study.

The results show a significant increase of volume of the CP (CPV) in Pts or CG standing on foam surface with eyes open (EO) and eyes closed (EC) after the EC phase.

Significant difference between Pts and CG was found in all cases as well.

Correlation coefficient indicates strong correlation between the CPV and ACE in most cases of patient examinations, thus confirming the possibility of quantification of postural instability by the introduced method of CPV.

American Psychological Association (APA)

Melecky, Roman& Socha, Vladimir& Kutilek, Patrik& Hanakova, Lenka& Takac, Peter& Schlenker, Jakub…[et al.]. 2016. Quantification of Trunk Postural Stability Using Convex Polyhedron of the Time-Series Accelerometer Data. Journal of Healthcare Engineering،Vol. 2016, no. 2016, pp.1-9.
https://search.emarefa.net/detail/BIM-1108684

Modern Language Association (MLA)

Melecky, Roman…[et al.]. Quantification of Trunk Postural Stability Using Convex Polyhedron of the Time-Series Accelerometer Data. Journal of Healthcare Engineering No. 2016 (2016), pp.1-9.
https://search.emarefa.net/detail/BIM-1108684

American Medical Association (AMA)

Melecky, Roman& Socha, Vladimir& Kutilek, Patrik& Hanakova, Lenka& Takac, Peter& Schlenker, Jakub…[et al.]. Quantification of Trunk Postural Stability Using Convex Polyhedron of the Time-Series Accelerometer Data. Journal of Healthcare Engineering. 2016. Vol. 2016, no. 2016, pp.1-9.
https://search.emarefa.net/detail/BIM-1108684

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references

Record ID

BIM-1108684