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Gait Symmetry Assessment with a Low Back 3D Accelerometer in Post-Stroke Patients
Gait asymmetry is an important marker of mobility impairment post stroke. This study proposes a new gait symmetry index (GSI) to quantify gait symmetry with one 3D accelerometer at L3 (GSI(L3)). GSI(L3) was evaluated with 16 post stroke patients and nine healthy controls in the Six-Minute-Walk-Test...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6209891/ https://www.ncbi.nlm.nih.gov/pubmed/30282947 http://dx.doi.org/10.3390/s18103322 |
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author | Zhang, Wei Smuck, Matthew Legault, Catherine Ith, Ma A. Muaremi, Amir Aminian, Kamiar |
author_facet | Zhang, Wei Smuck, Matthew Legault, Catherine Ith, Ma A. Muaremi, Amir Aminian, Kamiar |
author_sort | Zhang, Wei |
collection | PubMed |
description | Gait asymmetry is an important marker of mobility impairment post stroke. This study proposes a new gait symmetry index (GSI) to quantify gait symmetry with one 3D accelerometer at L3 (GSI(L3)). GSI(L3) was evaluated with 16 post stroke patients and nine healthy controls in the Six-Minute-Walk-Test (6-MWT). Discriminative power was evaluated with Wilcoxon test and the effect size (ES) was computed with Cliff’s Delta. GSI(L3) estimated during the entire 6-MWT and during a short segment straight walk (GSI(L3straight)) have comparable effect size to one another (ES = 0.89, p < 0.001) and to the symmetry indices derived from feet sensors (|ES| = [0.22, 0.89]). Furthermore, while none of the indices derived from feet sensors showed significant differences between post stroke patients walking with a cane compared to those able to walk without, GSI(L3) was able to discriminate between these two groups with a significantly lower value in the group using a cane (ES = 0.70, p = 0.02). In addition, GSI(L3) was strongly associated with several symmetry indices measured by feet sensors during the straight walking cycles (Spearman correlation: |ρ| = [0.82, 0.88], p < 0.05). The proposed index can be a reliable and cost-efficient post stroke gait symmetry assessment with implications for research and clinical practice. |
format | Online Article Text |
id | pubmed-6209891 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-62098912018-11-02 Gait Symmetry Assessment with a Low Back 3D Accelerometer in Post-Stroke Patients Zhang, Wei Smuck, Matthew Legault, Catherine Ith, Ma A. Muaremi, Amir Aminian, Kamiar Sensors (Basel) Article Gait asymmetry is an important marker of mobility impairment post stroke. This study proposes a new gait symmetry index (GSI) to quantify gait symmetry with one 3D accelerometer at L3 (GSI(L3)). GSI(L3) was evaluated with 16 post stroke patients and nine healthy controls in the Six-Minute-Walk-Test (6-MWT). Discriminative power was evaluated with Wilcoxon test and the effect size (ES) was computed with Cliff’s Delta. GSI(L3) estimated during the entire 6-MWT and during a short segment straight walk (GSI(L3straight)) have comparable effect size to one another (ES = 0.89, p < 0.001) and to the symmetry indices derived from feet sensors (|ES| = [0.22, 0.89]). Furthermore, while none of the indices derived from feet sensors showed significant differences between post stroke patients walking with a cane compared to those able to walk without, GSI(L3) was able to discriminate between these two groups with a significantly lower value in the group using a cane (ES = 0.70, p = 0.02). In addition, GSI(L3) was strongly associated with several symmetry indices measured by feet sensors during the straight walking cycles (Spearman correlation: |ρ| = [0.82, 0.88], p < 0.05). The proposed index can be a reliable and cost-efficient post stroke gait symmetry assessment with implications for research and clinical practice. MDPI 2018-10-03 /pmc/articles/PMC6209891/ /pubmed/30282947 http://dx.doi.org/10.3390/s18103322 Text en © 2018 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Zhang, Wei Smuck, Matthew Legault, Catherine Ith, Ma A. Muaremi, Amir Aminian, Kamiar Gait Symmetry Assessment with a Low Back 3D Accelerometer in Post-Stroke Patients |
title | Gait Symmetry Assessment with a Low Back 3D Accelerometer in Post-Stroke Patients |
title_full | Gait Symmetry Assessment with a Low Back 3D Accelerometer in Post-Stroke Patients |
title_fullStr | Gait Symmetry Assessment with a Low Back 3D Accelerometer in Post-Stroke Patients |
title_full_unstemmed | Gait Symmetry Assessment with a Low Back 3D Accelerometer in Post-Stroke Patients |
title_short | Gait Symmetry Assessment with a Low Back 3D Accelerometer in Post-Stroke Patients |
title_sort | gait symmetry assessment with a low back 3d accelerometer in post-stroke patients |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6209891/ https://www.ncbi.nlm.nih.gov/pubmed/30282947 http://dx.doi.org/10.3390/s18103322 |
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