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A biofeedback cycling training to improve locomotion: a case series study based on gait pattern classification of 153 chronic stroke patients
BACKGROUND: The restoration of walking ability is the main goal of post-stroke lower limb rehabilitation and different studies suggest that pedaling may have a positive effect on locomotion. The aim of this study was to explore the feasibility of a biofeedback pedaling treatment and its effects on c...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2011
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3200991/ https://www.ncbi.nlm.nih.gov/pubmed/21861930 http://dx.doi.org/10.1186/1743-0003-8-47 |
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author | Ferrante, Simona Ambrosini, Emilia Ravelli, Paola Guanziroli, Eleonora Molteni, Franco Ferrigno, Giancarlo Pedrocchi, Alessandra |
author_facet | Ferrante, Simona Ambrosini, Emilia Ravelli, Paola Guanziroli, Eleonora Molteni, Franco Ferrigno, Giancarlo Pedrocchi, Alessandra |
author_sort | Ferrante, Simona |
collection | PubMed |
description | BACKGROUND: The restoration of walking ability is the main goal of post-stroke lower limb rehabilitation and different studies suggest that pedaling may have a positive effect on locomotion. The aim of this study was to explore the feasibility of a biofeedback pedaling treatment and its effects on cycling and walking ability in chronic stroke patients. A case series study was designed and participants were recruited based on a gait pattern classification of a population of 153 chronic stroke patients. METHODS: In order to optimize participants selection, a k-means cluster analysis was performed to subgroup homogenous gait patterns in terms of gait speed and symmetry. The training consisted of a 2-week treatment of 6 sessions. A visual biofeedback helped the subjects in maintaining a symmetrical contribution of the two legs during pedaling. Participants were assessed before, after training and at follow-up visits (one week after treatment). Outcome measures were the unbalance during a pedaling test, and the temporal, spatial, and symmetry parameters during gait analysis. RESULTS AND DISCUSSION: Three clusters, mainly differing in terms of gait speed, were identified and participants, representative of each cluster, were selected. An intra-subject statistical analysis (ANOVA) showed that all patients significantly decreased the pedaling unbalance after treatment and maintained significant improvements with respect to baseline at follow-up. The 2-week treatment induced some modifications in the gait pattern of two patients: one, the most impaired, significantly improved mean velocity and increased gait symmetry; the other one reduced significantly the over-compensation of the healthy limb. No benefits were produced in the gait of the last subject who maintained her slow but almost symmetrical pattern. Thus, this study might suggest that the treatment can be beneficial for patients having a very asymmetrical and inefficient gait and for those that overuse the healthy leg. CONCLUSION: The results demonstrated that the treatment is feasible and it might be effective in translating progresses from pedaling to locomotion. If these results are confirmed on a larger and controlled scale, the intervention, thanks to its safety and low price, could have a significant impact as a home- rehabilitation treatment for chronic stroke patients. |
format | Online Article Text |
id | pubmed-3200991 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2011 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-32009912011-10-26 A biofeedback cycling training to improve locomotion: a case series study based on gait pattern classification of 153 chronic stroke patients Ferrante, Simona Ambrosini, Emilia Ravelli, Paola Guanziroli, Eleonora Molteni, Franco Ferrigno, Giancarlo Pedrocchi, Alessandra J Neuroeng Rehabil Research BACKGROUND: The restoration of walking ability is the main goal of post-stroke lower limb rehabilitation and different studies suggest that pedaling may have a positive effect on locomotion. The aim of this study was to explore the feasibility of a biofeedback pedaling treatment and its effects on cycling and walking ability in chronic stroke patients. A case series study was designed and participants were recruited based on a gait pattern classification of a population of 153 chronic stroke patients. METHODS: In order to optimize participants selection, a k-means cluster analysis was performed to subgroup homogenous gait patterns in terms of gait speed and symmetry. The training consisted of a 2-week treatment of 6 sessions. A visual biofeedback helped the subjects in maintaining a symmetrical contribution of the two legs during pedaling. Participants were assessed before, after training and at follow-up visits (one week after treatment). Outcome measures were the unbalance during a pedaling test, and the temporal, spatial, and symmetry parameters during gait analysis. RESULTS AND DISCUSSION: Three clusters, mainly differing in terms of gait speed, were identified and participants, representative of each cluster, were selected. An intra-subject statistical analysis (ANOVA) showed that all patients significantly decreased the pedaling unbalance after treatment and maintained significant improvements with respect to baseline at follow-up. The 2-week treatment induced some modifications in the gait pattern of two patients: one, the most impaired, significantly improved mean velocity and increased gait symmetry; the other one reduced significantly the over-compensation of the healthy limb. No benefits were produced in the gait of the last subject who maintained her slow but almost symmetrical pattern. Thus, this study might suggest that the treatment can be beneficial for patients having a very asymmetrical and inefficient gait and for those that overuse the healthy leg. CONCLUSION: The results demonstrated that the treatment is feasible and it might be effective in translating progresses from pedaling to locomotion. If these results are confirmed on a larger and controlled scale, the intervention, thanks to its safety and low price, could have a significant impact as a home- rehabilitation treatment for chronic stroke patients. BioMed Central 2011-08-24 /pmc/articles/PMC3200991/ /pubmed/21861930 http://dx.doi.org/10.1186/1743-0003-8-47 Text en Copyright ©2011 Ferrante et al; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Ferrante, Simona Ambrosini, Emilia Ravelli, Paola Guanziroli, Eleonora Molteni, Franco Ferrigno, Giancarlo Pedrocchi, Alessandra A biofeedback cycling training to improve locomotion: a case series study based on gait pattern classification of 153 chronic stroke patients |
title | A biofeedback cycling training to improve locomotion: a case series study based on gait pattern classification of 153 chronic stroke patients |
title_full | A biofeedback cycling training to improve locomotion: a case series study based on gait pattern classification of 153 chronic stroke patients |
title_fullStr | A biofeedback cycling training to improve locomotion: a case series study based on gait pattern classification of 153 chronic stroke patients |
title_full_unstemmed | A biofeedback cycling training to improve locomotion: a case series study based on gait pattern classification of 153 chronic stroke patients |
title_short | A biofeedback cycling training to improve locomotion: a case series study based on gait pattern classification of 153 chronic stroke patients |
title_sort | biofeedback cycling training to improve locomotion: a case series study based on gait pattern classification of 153 chronic stroke patients |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3200991/ https://www.ncbi.nlm.nih.gov/pubmed/21861930 http://dx.doi.org/10.1186/1743-0003-8-47 |
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