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Evaluating spatial characteristics of upper-limb movements from EMG signals

Author
Urra, O.; Casals, A.; Jane, R.
Type of activity
Presentation of work at congresses
Name of edition
XIII Mediterranean Conference on Medical and Biological Engineering and Computing
Date of publication
2013
Presentation's date
2013-09-27
Book of congress proceedings
XIII Mediterranean Conference on Medical and Biological Engineering and Computing 2013: MEDICON 2013, 25-28 September 2013, Seville, Spain
First page
1795
Last page
1798
DOI
https://doi.org/10.1007/978-3-319-00846-2_443 Open in new window
URL
http://www.springer.com/engineering/biomedical+engineering/book/978-3-319-00845-5 Open in new window
Abstract
Stroke is a major cause of disability, usually causing hemiplegic damage on the motor abilities of the patient. Stroke rehabilitation seeks restoring normal motion on the affected limb. However, ‘normality’ of movements is usually assessed by clinical and functional tests, without considering how the motor system responds to therapy. We hypothesized that electromyographic (EMG) recordings could provide useful information for evaluating the outcome of rehabilitation from a neuromuscular persp...
Keywords
EMG, Movement spatial characteristics, Pattern recognition, Stroke rehabilitation, Upper-limb
Group of research
BIOSPIN - Biomedical Signal Processing and Interpretation
CREB - Biomedical Engineering Research Centre
GRINS - Intelligent Robots and Systems

Participants