Document Detail


Posturographic analysis through markerless motion capture without ground reaction forces measurement.
MedLine Citation:
PMID:  19147143     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
The ability of the central nervous system to control posture and balance has been used with increasing frequency for the diagnosis and/or treatment evaluation of various neuromuscular diseases. Typically this analysis (Posturographic Analysis) is based on tracking the motion of the center of mass (COM) during quiet standing, however direct measurement of the COM has been commonly approximated using the movement of the center of pressure (COP). The purpose of this study was to apply and validate a new method to track the COM (center of mass) and COP (center of pressure) from a visual hull measured using a markerless motion capture (MMC) method. The method was tested by comparing the calculation of the COP from direct measurements of the COP. The deviations between the methods, below 2mm, were small relative to the average range of movement guaranteeing a satisfactory signal to noise ratio. This new method requires only kinematic data through MMC method and without the need of a force plate can identify the influence of individual body segments to motion of the COM.
Authors:
Stefano Corazza; Thomas P Andriacchi
Related Documents :
6606583 - Visual influence on postural control in the cat.
10436473 - The influence of dynamic visual environments on postural sway in the elderly.
3719473 - Modification of motor output to compensate for unanticipated load conditions during rap...
Publication Detail:
Type:  Journal Article; Research Support, U.S. Gov't, Non-P.H.S.     Date:  2009-01-14
Journal Detail:
Title:  Journal of biomechanics     Volume:  42     ISSN:  0021-9290     ISO Abbreviation:  J Biomech     Publication Date:  2009 Feb 
Date Detail:
Created Date:  2009-02-02     Completed Date:  2009-04-08     Revised Date:  2009-11-11    
Medline Journal Info:
Nlm Unique ID:  0157375     Medline TA:  J Biomech     Country:  United States    
Other Details:
Languages:  eng     Pagination:  370-4     Citation Subset:  IM    
Affiliation:
Stanford University, Stanford, CA, USA. stefanoc@stanford.edu
Export Citation:
APA/MLA Format     Download EndNote     Download BibTex
MeSH Terms
Descriptor/Qualifier:
Diagnosis, Computer-Assisted / methods*
Humans
Lower Extremity / physiology
Postural Balance / physiology*
Posture / physiology*
Psychomotor Performance / physiology
Weight-Bearing / physiology

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine


Previous Document:  Insulin resistance and carotid atherosclerosis in patients with type 2 diabetes.
Next Document:  Deformation and recovery of cartilage in the intact hip under physiological loads using 7T MRI.