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End-point kinematics using virtual reality explaining upper limb impairment and activity capacity in stroke
BACKGROUND: For evaluation of upper limb impairment and activity capacity, Fugl-Meyer Assessment of Upper Extremity (FMA-UE) and Action Research Arm Test (ARAT) are recommended to be included in stroke trials. To improve the understanding of mechanisms of motor recovery, and differentiate between re...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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BioMed Central
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6604147/ https://www.ncbi.nlm.nih.gov/pubmed/31262320 http://dx.doi.org/10.1186/s12984-019-0551-7 |
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author | Hussain, Netha Sunnerhagen, Katharina S. Alt Murphy, Margit |
author_facet | Hussain, Netha Sunnerhagen, Katharina S. Alt Murphy, Margit |
author_sort | Hussain, Netha |
collection | PubMed |
description | BACKGROUND: For evaluation of upper limb impairment and activity capacity, Fugl-Meyer Assessment of Upper Extremity (FMA-UE) and Action Research Arm Test (ARAT) are recommended to be included in stroke trials. To improve the understanding of mechanisms of motor recovery, and differentiate between restitution and compensation, kinematic analysis is also recommended for assessment of upper limb function after stroke. AIM: To determine the extent to which end-point kinematic variables obtained from the target-to-target pointing task were associated with upper limb impairment or activity limitation as assessed by traditional clinical scales in individuals with stroke. METHODS: Sixty-four individuals, from acute stage up to one year after stroke, were included from the Stroke Arm Longitudinal study at the University of Gothenburg (SALGOT) cohort. They performed a target-to-target pointing task in a virtual environment using a haptic stylus which also captured the kinematic parameters. Multiple linear regression was done to determine the amount of variance explained by kinematic variables on FMA-UE and ARAT scores after controlling for confounding variables. RESULTS: Mean velocity and number of velocity peaks explained 11 and 9% of the FMA-UE score uniquely and 16% when taken together. Movement time and number of velocity peaks explained 13 and 10% of the ARAT score respectively. CONCLUSION: The kinematic variables of movement time, velocity and smoothness explain only a part of the variance captured by using clinical observational scales, reinforcing the importance of multi-level assessment using both kinematic analysis and clinical scales in upper limb evaluation after stroke. TRIAL REGISTRATION: The trial was registered with register number NCT01115348 at clinicaltrials.gov, on May 4, 2010. URL: https://clinicaltrials.gov/ct2/show/NCT01115348. |
format | Online Article Text |
id | pubmed-6604147 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-66041472019-07-12 End-point kinematics using virtual reality explaining upper limb impairment and activity capacity in stroke Hussain, Netha Sunnerhagen, Katharina S. Alt Murphy, Margit J Neuroeng Rehabil Research BACKGROUND: For evaluation of upper limb impairment and activity capacity, Fugl-Meyer Assessment of Upper Extremity (FMA-UE) and Action Research Arm Test (ARAT) are recommended to be included in stroke trials. To improve the understanding of mechanisms of motor recovery, and differentiate between restitution and compensation, kinematic analysis is also recommended for assessment of upper limb function after stroke. AIM: To determine the extent to which end-point kinematic variables obtained from the target-to-target pointing task were associated with upper limb impairment or activity limitation as assessed by traditional clinical scales in individuals with stroke. METHODS: Sixty-four individuals, from acute stage up to one year after stroke, were included from the Stroke Arm Longitudinal study at the University of Gothenburg (SALGOT) cohort. They performed a target-to-target pointing task in a virtual environment using a haptic stylus which also captured the kinematic parameters. Multiple linear regression was done to determine the amount of variance explained by kinematic variables on FMA-UE and ARAT scores after controlling for confounding variables. RESULTS: Mean velocity and number of velocity peaks explained 11 and 9% of the FMA-UE score uniquely and 16% when taken together. Movement time and number of velocity peaks explained 13 and 10% of the ARAT score respectively. CONCLUSION: The kinematic variables of movement time, velocity and smoothness explain only a part of the variance captured by using clinical observational scales, reinforcing the importance of multi-level assessment using both kinematic analysis and clinical scales in upper limb evaluation after stroke. TRIAL REGISTRATION: The trial was registered with register number NCT01115348 at clinicaltrials.gov, on May 4, 2010. URL: https://clinicaltrials.gov/ct2/show/NCT01115348. BioMed Central 2019-07-01 /pmc/articles/PMC6604147/ /pubmed/31262320 http://dx.doi.org/10.1186/s12984-019-0551-7 Text en © The Author(s). 2019 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Research Hussain, Netha Sunnerhagen, Katharina S. Alt Murphy, Margit End-point kinematics using virtual reality explaining upper limb impairment and activity capacity in stroke |
title | End-point kinematics using virtual reality explaining upper limb impairment and activity capacity in stroke |
title_full | End-point kinematics using virtual reality explaining upper limb impairment and activity capacity in stroke |
title_fullStr | End-point kinematics using virtual reality explaining upper limb impairment and activity capacity in stroke |
title_full_unstemmed | End-point kinematics using virtual reality explaining upper limb impairment and activity capacity in stroke |
title_short | End-point kinematics using virtual reality explaining upper limb impairment and activity capacity in stroke |
title_sort | end-point kinematics using virtual reality explaining upper limb impairment and activity capacity in stroke |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6604147/ https://www.ncbi.nlm.nih.gov/pubmed/31262320 http://dx.doi.org/10.1186/s12984-019-0551-7 |
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