Full text
Preview |
PDF
- Requires a PDF viewer, such as GSview, Xpdf or Adobe Acrobat Reader
Download (975kB) | Preview |
Zakynthinaki, María S., Stirling, James, Cordente Martinez, Carlos Alberto ORCID: https://orcid.org/0000-0002-9038-8357, Lopez Diaz de Durana, Alfonso
ORCID: https://orcid.org/0000-0002-6967-8165, Sillero Quintana, Manuel
ORCID: https://orcid.org/0000-0002-9806-2925, Rodríguez Romo, Gabriel
ORCID: https://orcid.org/0000-0003-3111-6340 and Sampedro Molinuevo, Javier
ORCID: https://orcid.org/0000-0003-0601-4051
(2010).
Modelling the basin of attraction as a two-dimensional manifold from experimental data: applications to balance in humans.
"Chaos", v. 20
(n. 1);
pp. 1054-1500.
ISSN 1054-1500.
https://doi.org/10.1063/1.3337690.
Title: | Modelling the basin of attraction as a two-dimensional manifold from experimental data: applications to balance in humans |
---|---|
Author/s: |
|
Item Type: | Article |
Título de Revista/Publicación: | Chaos |
Date: | January 2010 |
ISSN: | 1054-1500 |
Volume: | 20 |
Subjects: | |
Faculty: | Facultad de Ciencias de la Actividad Física y del Deporte (INEF) (UPM) |
Department: | Otro |
Creative Commons Licenses: | Recognition - No derivative works - Non commercial |
Preview |
PDF
- Requires a PDF viewer, such as GSview, Xpdf or Adobe Acrobat Reader
Download (975kB) | Preview |
We present a method of modeling the basin of attraction as a three-dimensional function describing a two-dimensional manifold on which the dynamics of the system evolves from experimental time series data. Our method is based on the density of the data set and uses numerical optimization and data modeling tools. We also show how to obtain analytic curves that describe both the contours and the boundary of the basin. Our method is applied to the problem of regaining balance after perturbation from quiet vertical stance using data of an elite athlete. Our method goes beyond the statistical description of the experimental data, providing a function that describes the shape of the basin of attraction. To test its robustness, our method has also been applied to two different data sets of a second subject and no significant differences were found between the contours of the calculated basin of attraction for the different data sets. The proposed method has many uses in a wide variety of areas, not just human balance for which there are many applications in medicine, rehabilitation, and sport
Item ID: | 8418 |
---|---|
DC Identifier: | https://oa.upm.es/8418/ |
OAI Identifier: | oai:oa.upm.es:8418 |
DOI: | 10.1063/1.3337690 |
Deposited by: | Memoria Investigacion |
Deposited on: | 24 Aug 2011 09:56 |
Last Modified: | 20 Apr 2016 17:13 |