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Synergy analysis as a tool to design and assess an effective stroke rehabilitation

Author
Urra, O.; Casals, A.; Jane, R.
Type of activity
Presentation of work at congresses
Name of edition
36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society
Date of publication
2014
Presentation's date
2014-08-28
Book of congress proceedings
2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)
First page
3550
Last page
3553
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
DOI
https://doi.org/10.1109/EMBC.2014.6944389 Open in new window
Project funding
Interpretación de datos biomédicos multimodales en trastornos del sueño y neurológicos, enfermedad pulmonar obstructiva, patología cardiaca e interacción cardiorespiratoria
Repository
http://hdl.handle.net/2117/28165 Open in new window
URL
http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6944389 Open in new window
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 neuromuscul...
Citation
Urra, O.; Casals, A.; Jane, R. Synergy analysis as a tool to design and assess an effective stroke rehabilitation. A: IEEE Engineering in Medicine and Biology Society. "2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)". Chicago: Institute of Electrical and Electronics Engineers (IEEE), 2014, p. 3550-3553.
Keywords
Bars, Electromyography, Motor drives, Neuromuscular, Vectors, Visualization
Group of research
BIOSPIN - Biomedical Signal Processing and Interpretation
CREB - Biomedical Engineering Research Centre
GRINS - Intelligent Robots and Systems

Participants

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