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
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