Titulo:

Evaluación de la experiencia del usuario de un sistema de estabilometría para esclerosis múltiple basado en visión por computadora
.

Sumario:

Computarized posturography is a set of methods and techniques intended to provide objective measures of the balance function of a subject with postural control system alterations, in order to support diagnostic and therapeutic procedures. Modern computerized posturography systems yield accurate and reliable representations of the patient performance, such as force platform-based stabilograms (an account of the center of pressure trajectory along a balance test). However, such tests are quite expensive and usually imply uncomfortable displacements and procedures, such as marker placement protocols. As an alternative, recent developments on video-based stabilometry systems offer portable, low-cost computarized posturography solut... Ver más

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Journal of Research and Innovation in Health Sciences - 2019

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spelling Evaluación de la experiencia del usuario de un sistema de estabilometría para esclerosis múltiple basado en visión por computadora
Evaluación de la experiencia del usuario de un sistema de estabilometría para esclerosis múltiple basado en visión por computadora
Computarized posturography is a set of methods and techniques intended to provide objective measures of the balance function of a subject with postural control system alterations, in order to support diagnostic and therapeutic procedures. Modern computerized posturography systems yield accurate and reliable representations of the patient performance, such as force platform-based stabilograms (an account of the center of pressure trajectory along a balance test). However, such tests are quite expensive and usually imply uncomfortable displacements and procedures, such as marker placement protocols. As an alternative, recent developments on video-based stabilometry systems offer portable, low-cost computarized posturography solutions. This work presents an exploratory study on the user experience of the application of such systems in balance function assessment tests for both patients with diagnosis of Multiple Sclerosis and clinical personnel. The reception reported by the survey is highly positive, yet it points out that some improvements in the preparation of clinical staff to interpert stabilometry results are required, and summarized balance function descriptors could be necessary. 
Computarized posturography is a set of methods and techniques intended to provide objective measures of the balance function of a subject with postural control system alterations, in order to support diagnostic and therapeutic procedures. Modern computerized posturography systems yield accurate and reliable representations of the patient performance, such as force platform-based stabilograms (an account of the center of pressure trajectory along a balance test). However, such tests are quite expensive and usually imply uncomfortable displacements and procedures, such as marker placement protocols. As an alternative, recent developments on video-based stabilometry systems offer portable, low-cost computarized posturography solutions. This work presents an exploratory study on the user experience of the application of such systems in balance function assessment tests for both patients with diagnosis of Multiple Sclerosis and clinical personnel. The reception reported by the survey is highly positive, yet it points out that some improvements in the preparation of clinical staff to interpert stabilometry results are required, and summarized balance function descriptors could be necessary. 
Sosa, Germán David
Franco, Hugo
Estabilometría
esclerosis múltiple
vision-based stabilometry
multiple sclerosis
1
1
Artículo de revista
Journal article
2019-04-09T00:00:00Z
2019-04-09T00:00:00Z
2019-04-09
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application/xml
Fundación Universitaria María Cano
Revista de Investigación e Innovación en Ciencias de la Salud
2665-2056
https://riics.info/index.php/RCMC/article/view/8
10.46634/riics.8
https://doi.org/10.46634/riics.8
spa
https://creativecommons.org/licenses/by-nc-nd/4.0/deed.es
Journal of Research and Innovation in Health Sciences - 2019
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
7
16
Bogle LD, Newton RA. Use of the berg balance test to predict falls in elderly persons. Physical therapy. 1996 Jun 01; 76 (6): 576–583. https://doi.org/10.1093/ptj/76.6.576
Jana A. Kinect for windows SDK programming guide. Packt Publishing Ltd; 2012.
Judge JO, King MB, Whipple R, Clive J, Wolf LI son. Dynamic balance in older persons: effects of reduced visual and proprioceptive input. The Journals of Gerontology Series A. 1995 sep 01; 50 (5): 263-270. https://doi.org/10.1093/gerona/50A.5.M263
Nashner LM. Practical biomechanics and physiology of balance. Balance Function Assessment and Management; 2014. 431p.
Preiningerova JL, Novotna K, Rusz J, Sucha L, Ruzicka E, Havrdova E. Spatial and temporal characteristics of gait as outcome measures in multiple sclerosis (edss 0 to 6.5). Journal of neuroengineering and rehabilitation. 2015; 12 (1): 14. https://doi.org/10.1186/s12984-015-0001-0
Sosa GD, Sánchez J, Franco H. Improved front-view tracking of human skeleton from kinect data for rehabilitation support in multiple sclerosis. In Signal Processing, Images and Computer Vision (STSIVA). IEEE. 2015 Nov 19; 20th Symposium on, 1–7. https://doi.org/10.1109/STSIVA.2015.7330422
Sosa GD. Regression model based on real-time video skeleton tracking as a cost-effective alternative to stabilometry. [Master’s thesis]. [Colombia]: Universidad Central and Universidad Jorge Tadeo Lozano; 2018.
Vaughan CL, Davis BL, Connor J. Dynamics of human gait. 2nd edition. Kiboho Publishers Cape Town. South Africa; 1999.
Williams B, Chang A, Landefeld C, Ahalt C, Conant R, Chen H. Current Diagnosis and Treatment: Geriatrics 2E. McGraw Hill Professional. 2014.
https://riics.info/index.php/RCMC/article/download/8/195
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title Evaluación de la experiencia del usuario de un sistema de estabilometría para esclerosis múltiple basado en visión por computadora
spellingShingle Evaluación de la experiencia del usuario de un sistema de estabilometría para esclerosis múltiple basado en visión por computadora
Sosa, Germán David
Franco, Hugo
Estabilometría
esclerosis múltiple
vision-based stabilometry
multiple sclerosis
title_short Evaluación de la experiencia del usuario de un sistema de estabilometría para esclerosis múltiple basado en visión por computadora
title_full Evaluación de la experiencia del usuario de un sistema de estabilometría para esclerosis múltiple basado en visión por computadora
title_fullStr Evaluación de la experiencia del usuario de un sistema de estabilometría para esclerosis múltiple basado en visión por computadora
title_full_unstemmed Evaluación de la experiencia del usuario de un sistema de estabilometría para esclerosis múltiple basado en visión por computadora
title_sort evaluación de la experiencia del usuario de un sistema de estabilometría para esclerosis múltiple basado en visión por computadora
description Computarized posturography is a set of methods and techniques intended to provide objective measures of the balance function of a subject with postural control system alterations, in order to support diagnostic and therapeutic procedures. Modern computerized posturography systems yield accurate and reliable representations of the patient performance, such as force platform-based stabilograms (an account of the center of pressure trajectory along a balance test). However, such tests are quite expensive and usually imply uncomfortable displacements and procedures, such as marker placement protocols. As an alternative, recent developments on video-based stabilometry systems offer portable, low-cost computarized posturography solutions. This work presents an exploratory study on the user experience of the application of such systems in balance function assessment tests for both patients with diagnosis of Multiple Sclerosis and clinical personnel. The reception reported by the survey is highly positive, yet it points out that some improvements in the preparation of clinical staff to interpert stabilometry results are required, and summarized balance function descriptors could be necessary. 
description_eng Computarized posturography is a set of methods and techniques intended to provide objective measures of the balance function of a subject with postural control system alterations, in order to support diagnostic and therapeutic procedures. Modern computerized posturography systems yield accurate and reliable representations of the patient performance, such as force platform-based stabilograms (an account of the center of pressure trajectory along a balance test). However, such tests are quite expensive and usually imply uncomfortable displacements and procedures, such as marker placement protocols. As an alternative, recent developments on video-based stabilometry systems offer portable, low-cost computarized posturography solutions. This work presents an exploratory study on the user experience of the application of such systems in balance function assessment tests for both patients with diagnosis of Multiple Sclerosis and clinical personnel. The reception reported by the survey is highly positive, yet it points out that some improvements in the preparation of clinical staff to interpert stabilometry results are required, and summarized balance function descriptors could be necessary. 
author Sosa, Germán David
Franco, Hugo
author_facet Sosa, Germán David
Franco, Hugo
topicspa_str_mv Estabilometría
esclerosis múltiple
topic Estabilometría
esclerosis múltiple
vision-based stabilometry
multiple sclerosis
topic_facet Estabilometría
esclerosis múltiple
vision-based stabilometry
multiple sclerosis
citationvolume 1
citationissue 1
publisher Fundación Universitaria María Cano
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source https://riics.info/index.php/RCMC/article/view/8
language spa
format Article
rights https://creativecommons.org/licenses/by-nc-nd/4.0/deed.es
Journal of Research and Innovation in Health Sciences - 2019
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
info:eu-repo/semantics/openAccess
http://purl.org/coar/access_right/c_abf2
references Bogle LD, Newton RA. Use of the berg balance test to predict falls in elderly persons. Physical therapy. 1996 Jun 01; 76 (6): 576–583. https://doi.org/10.1093/ptj/76.6.576
Jana A. Kinect for windows SDK programming guide. Packt Publishing Ltd; 2012.
Judge JO, King MB, Whipple R, Clive J, Wolf LI son. Dynamic balance in older persons: effects of reduced visual and proprioceptive input. The Journals of Gerontology Series A. 1995 sep 01; 50 (5): 263-270. https://doi.org/10.1093/gerona/50A.5.M263
Nashner LM. Practical biomechanics and physiology of balance. Balance Function Assessment and Management; 2014. 431p.
Preiningerova JL, Novotna K, Rusz J, Sucha L, Ruzicka E, Havrdova E. Spatial and temporal characteristics of gait as outcome measures in multiple sclerosis (edss 0 to 6.5). Journal of neuroengineering and rehabilitation. 2015; 12 (1): 14. https://doi.org/10.1186/s12984-015-0001-0
Sosa GD, Sánchez J, Franco H. Improved front-view tracking of human skeleton from kinect data for rehabilitation support in multiple sclerosis. In Signal Processing, Images and Computer Vision (STSIVA). IEEE. 2015 Nov 19; 20th Symposium on, 1–7. https://doi.org/10.1109/STSIVA.2015.7330422
Sosa GD. Regression model based on real-time video skeleton tracking as a cost-effective alternative to stabilometry. [Master’s thesis]. [Colombia]: Universidad Central and Universidad Jorge Tadeo Lozano; 2018.
Vaughan CL, Davis BL, Connor J. Dynamics of human gait. 2nd edition. Kiboho Publishers Cape Town. South Africa; 1999.
Williams B, Chang A, Landefeld C, Ahalt C, Conant R, Chen H. Current Diagnosis and Treatment: Geriatrics 2E. McGraw Hill Professional. 2014.
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