Document Detail


Evaluating the contribution of a neural component of ankle joint resistive torque in patients with stroke using a manual device.
MedLine Citation:
PMID:  21280977     Owner:  NLM     Status:  Publisher    
Abstract/OtherAbstract:
Primary objective: To investigate the methodology using a manual ankle joint resistive torque measurement device to evaluate the contribution of the neural component of ankle joint resistive torque in patients with stroke. Research design: Within-subject comparison to compare the ankle joint resistive torque between fast and slow stretching conditions. Methods and procedures: Ten patients with stroke participated in this study. The incremental ratio of ankle joint resistive torque at the ankle angular position of 5° dorsiflexion under the fast stretching condition in comparison to the slow one was calculated in each patient. Main outcomes and results: A significant increase (p < 0.01) in the ankle joint resistive torque was demonstrated under the fast stretching condition in comparison to the slow one in all patients and the mean ankle joint resistive torque was 4.6 (SD = 1.7) Nm under the slow stretching condition, while it was 8.4 (SD = 4.1) Nm under the fast stretching condition at the ankle angular position of 5° dorsiflexion. The incremental ratio ranged from 9.4-139.3% among the patients. Conclusions: The results of this study demonstrated the potential advantage of the device to evaluate the contribution of the neural component of ankle joint resistive torque.
Authors:
Toshiki Kobayashi; Aaron K L Leung; Yasushi Akazawa; Stephen W Hutchins
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Publication Detail:
Type:  JOURNAL ARTICLE     Date:  2011-1-31
Journal Detail:
Title:  Brain injury : [BI]     Volume:  -     ISSN:  1362-301X     ISO Abbreviation:  -     Publication Date:  2011 Jan 
Date Detail:
Created Date:  2011-2-1     Completed Date:  -     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  8710358     Medline TA:  Brain Inj     Country:  -    
Other Details:
Languages:  ENG     Pagination:  -     Citation Subset:  -    
Affiliation:
Department of Health Technology and Informatics, The Hong Kong Polytechnic University, Hong Kong, PR China.
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