DocumentCode :
140173
Title :
Synergy analysis as a tool to design and assess an effective stroke rehabilitation
Author :
Urra, O. ; Casals, Alicia ; Jane, Raimon
Author_Institution :
BarcelonaTech, Inst. for Bioeng. of Catalonia, Univ. Politec. de Catalunya, Barcelona, Spain
fYear :
2014
fDate :
26-30 Aug. 2014
Firstpage :
3550
Lastpage :
3553
Abstract :
The poor rehabilitation success rate, including the cases of ineffective and detrimental adaptations, make stroke a leading cause of disability. Thus, it is essential to recognize the mechanisms driving healthy motor recovery to improve such rate. Stroke alters the Synergy Architecture (SA), the modular muscle control system. So SA analysis may constitute a powerful tool to design and assess rehabilitation procedures. However, current impairment scales do not consider the patient´s neuromuscular state. To gain insights into this hypothesis, we recorded multiple myoelectric signals from upper-limb muscles, in healthy subjects, while executing a set of common rehabilitation exercises. We found that SA reveals optimized motor control strategies and the positive effects of the use of visual feedback (VF) on motor control. Furthermore we demonstrate that the right and left arm´s SA share the basic structure within the same subject, so we propose using the unaffected limb´s SA as a reference motion pattern to be reached through rehabilitation.
Keywords :
biocontrol; biomechanics; electromyography; patient rehabilitation; SA analysis; Synergy Architecture; VF; detrimental adaptations; disability; effective stroke rehabilitation; healthy motor recovery; impairment scales; ineffective adaptations; left arm SA; modular muscle control system; multiple myoelectric signals; optimized motor control strategies; patient neuromuscular state; positive effects; reference motion pattern; rehabilitation exercises; rehabilitation procedures; rehabilitation success rate; right arm SA; synergy analysis; unaffected limb SA; upper-limb muscles; visual feedback; Bars; Electromyography; Motor drives; Neuromuscular; Vectors; Visualization;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Engineering in Medicine and Biology Society (EMBC), 2014 36th Annual International Conference of the IEEE
Conference_Location :
Chicago, IL
ISSN :
1557-170X
Type :
conf
DOI :
10.1109/EMBC.2014.6944389
Filename :
6944389
Link To Document :
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