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Prediction of isometric motor tasks and effort levels based on high-density EMG in patients with incomplete spinal cord injury

Autor
Jordanic, M.; Rojas, M.; Mañanas, M.A.; Alonso, J.F.
Tipus d'activitat
Article en revista
Revista
Journal of neural engineering
Data de publicació
2016-05-17
Volum
13
Número
4
Pàgina inicial
046002-1
Pàgina final
046002-10
DOI
https://doi.org/10.1088/1741-2560/13/4/046002 Obrir en finestra nova
Repositori
http://hdl.handle.net/2117/104367 Obrir en finestra nova
URL
http://iopscience.iop.org/article/10.1088/1741-2560/13/4/046002 Obrir en finestra nova
Resum
Objective. The development of modern assistive and rehabilitation devices requires reliable and easy-to-use methods to extract neural information for control of devices. Group-specific pattern recognition identifiers are influenced by inter-subject variability. Based on high-density EMG (HD-EMG) maps, our research group has already shown that inter-subject muscle activation patterns exist in a population of healthy subjects. The aim of this paper is to analyze muscle activation patterns associat...
Citació
Jordanic, M., Rojas, M., Mañanas, M.A., Alonso, J.F. Prediction of isometric motor tasks and effort levels based on high-density EMG in patients with incomplete spinal cord injury. "Journal of neural engineering", 17 Maig 2016, vol. 13, núm. 4, p. 046002-1-046002-10.
Grup de recerca
BIOART - Anàlisi de Biosenyals per a la Rehabilitació i la Teràpia
CREB - Centre de Recerca en Enginyeria Biomedica

Participants

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