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Evaluating spatial characteristics of upper-limb movements from EMG signals

Autor
Urra, O.; Casals, A.; Jane, R.
Tipus d'activitat
Presentació treball a congrés
Nom de l'edició
XIII Mediterranean Conference on Medical and Biological Engineering and Computing
Any de l'edició
2013
Data de presentació
2013-09-27
Llibre d'actes
XIII Mediterranean Conference on Medical and Biological Engineering and Computing 2013: MEDICON 2013, 25-28 September 2013, Seville, Spain
Pàgina inicial
1795
Pàgina final
1798
DOI
https://doi.org/10.1007/978-3-319-00846-2_443 Obrir en finestra nova
URL
http://www.springer.com/engineering/biomedical+engineering/book/978-3-319-00845-5 Obrir en finestra nova
Resum
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...
Paraules clau
EMG, Movement spatial characteristics, Pattern recognition, Stroke rehabilitation, Upper-limb
Grup de recerca
BIOSPIN - Biomedical Signal Processing and Interpretation
CREB - Centre de Recerca en Enginyeria Biomedica
GRINS - Grup de Recerca en Robòtica Intel·ligent i Sistemes

Participants