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Is the Assessment of 5 Meters of Gait with a Single Body-Fixed-Sensor Enough to Recognize Idiopathic Parkinson’s Disease-Associated Gait?
Quantitative assessment of gait in patients with Parkinson’s disease (PD) is an important step in addressing motor symptoms and improving clinical management. Based on the assessment of only 5 meters of gait with a single body-fixed-sensor placed on the lower back, this study presents a method for t...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer US
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5397518/ https://www.ncbi.nlm.nih.gov/pubmed/28108943 http://dx.doi.org/10.1007/s10439-017-1794-8 |
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author | Micó-Amigo, M. E. Kingma, I. Faber, G. S. Kunikoshi, A. van Uem, J. M. T. van Lummel, R. C. Maetzler, W. van Dieën, J. H. |
author_facet | Micó-Amigo, M. E. Kingma, I. Faber, G. S. Kunikoshi, A. van Uem, J. M. T. van Lummel, R. C. Maetzler, W. van Dieën, J. H. |
author_sort | Micó-Amigo, M. E. |
collection | PubMed |
description | Quantitative assessment of gait in patients with Parkinson’s disease (PD) is an important step in addressing motor symptoms and improving clinical management. Based on the assessment of only 5 meters of gait with a single body-fixed-sensor placed on the lower back, this study presents a method for the identification of step-by-step kinematic parameters in 14 healthy controls and in 28 patients at early-to-moderate stages of idiopathic PD. Differences between groups in step-by-step kinematic parameters were evaluated to understand gait impairments in the PD group. Moreover, a discriminant model between groups was built from a subset of significant and independent parameters and based on a 10-fold cross-validated model. The discriminant model correctly classified a total of 89.5% participants with four kinematic parameters. The sensitivity of the model was 95.8% and the specificity 78.6%. The results indicate that the proposed method permitted to reasonably recognize idiopathic PD-associated gait from 5-m walking assessments. This motivates further investigation on the clinical utility of short episodes of gait assessment with body-fixed-sensors. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1007/s10439-017-1794-8) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-5397518 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Springer US |
record_format | MEDLINE/PubMed |
spelling | pubmed-53975182017-05-05 Is the Assessment of 5 Meters of Gait with a Single Body-Fixed-Sensor Enough to Recognize Idiopathic Parkinson’s Disease-Associated Gait? Micó-Amigo, M. E. Kingma, I. Faber, G. S. Kunikoshi, A. van Uem, J. M. T. van Lummel, R. C. Maetzler, W. van Dieën, J. H. Ann Biomed Eng Article Quantitative assessment of gait in patients with Parkinson’s disease (PD) is an important step in addressing motor symptoms and improving clinical management. Based on the assessment of only 5 meters of gait with a single body-fixed-sensor placed on the lower back, this study presents a method for the identification of step-by-step kinematic parameters in 14 healthy controls and in 28 patients at early-to-moderate stages of idiopathic PD. Differences between groups in step-by-step kinematic parameters were evaluated to understand gait impairments in the PD group. Moreover, a discriminant model between groups was built from a subset of significant and independent parameters and based on a 10-fold cross-validated model. The discriminant model correctly classified a total of 89.5% participants with four kinematic parameters. The sensitivity of the model was 95.8% and the specificity 78.6%. The results indicate that the proposed method permitted to reasonably recognize idiopathic PD-associated gait from 5-m walking assessments. This motivates further investigation on the clinical utility of short episodes of gait assessment with body-fixed-sensors. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1007/s10439-017-1794-8) contains supplementary material, which is available to authorized users. Springer US 2017-01-20 2017 /pmc/articles/PMC5397518/ /pubmed/28108943 http://dx.doi.org/10.1007/s10439-017-1794-8 Text en © The Author(s) 2017 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. |
spellingShingle | Article Micó-Amigo, M. E. Kingma, I. Faber, G. S. Kunikoshi, A. van Uem, J. M. T. van Lummel, R. C. Maetzler, W. van Dieën, J. H. Is the Assessment of 5 Meters of Gait with a Single Body-Fixed-Sensor Enough to Recognize Idiopathic Parkinson’s Disease-Associated Gait? |
title | Is the Assessment of 5 Meters of Gait with a Single Body-Fixed-Sensor Enough to Recognize Idiopathic Parkinson’s Disease-Associated Gait? |
title_full | Is the Assessment of 5 Meters of Gait with a Single Body-Fixed-Sensor Enough to Recognize Idiopathic Parkinson’s Disease-Associated Gait? |
title_fullStr | Is the Assessment of 5 Meters of Gait with a Single Body-Fixed-Sensor Enough to Recognize Idiopathic Parkinson’s Disease-Associated Gait? |
title_full_unstemmed | Is the Assessment of 5 Meters of Gait with a Single Body-Fixed-Sensor Enough to Recognize Idiopathic Parkinson’s Disease-Associated Gait? |
title_short | Is the Assessment of 5 Meters of Gait with a Single Body-Fixed-Sensor Enough to Recognize Idiopathic Parkinson’s Disease-Associated Gait? |
title_sort | is the assessment of 5 meters of gait with a single body-fixed-sensor enough to recognize idiopathic parkinson’s disease-associated gait? |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5397518/ https://www.ncbi.nlm.nih.gov/pubmed/28108943 http://dx.doi.org/10.1007/s10439-017-1794-8 |
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