| Associations between gait patterns, brain lesion factors and functional recovery in stroke patients. | |
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MedLine Citation:
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PMID: 21937234 Owner: NLM Status: Publisher |
Abstract/OtherAbstract:
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Brain CT scans and neurological condition were evaluated in 74 stroke patients. Firstly, we found that using a classification-tree technique based on CT scan parameters (an innovative method, analyzing four parameters simultaneously) coincided with our previously proposed kinematic artificial neural network (ANN) classification technique for 71.3% of patients. Lesion size and location were found to be the most significant CT scan predictors of gait classification. Secondly, we sought to gauge post-rehabilitation functional recovery in patients within the same three groups of gait pattern. We found significant differences in scores between the three gait pattern groups, before and after rehabilitation (Kruskal-Wallis test, p<0.001), while significant improvement was observed in each group (Wilcoxon text; p<0.01). We conclude that patient classification into pathological gait groups on the basis of gait or CT scan parameters may serve as an early predictor of future functional outcome. |
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Authors:
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Katarzyna Kaczmarczyk; Andrzej Wit; Maciej Krawczyk; Jacek Zaborski; Jan Gajewski |
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Publication Detail:
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Type: JOURNAL ARTICLE Date: 2011-9-19 |
Journal Detail:
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Title: Gait & posture Volume: - ISSN: 1879-2219 ISO Abbreviation: - Publication Date: 2011 Sep |
Date Detail:
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Created Date: 2011-9-22 Completed Date: - Revised Date: - |
Medline Journal Info:
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Nlm Unique ID: 9416830 Medline TA: Gait Posture Country: - |
Other Details:
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Languages: ENG Pagination: - Citation Subset: - |
Copyright Information:
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Copyright © 2011 Elsevier B.V. All rights reserved. |
Affiliation:
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Józef Piłsudski University of Physical Education in Warsaw, Poland. |
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From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine
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