Synergistic control of forearm based on accelerometer data and artificial neural networks
In the present study, we modeled a reaching task as a two-link mechanism. The upper arm and forearm motion trajectories during vertical arm movements were estimated from the measured angular accelerations with dual-axis accelerometers. A data set of reaching synergies from able-bodied individuals wa...
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Outros Autores: | , |
Formato: | article |
Idioma: | eng |
Publicado em: |
2008
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Assuntos: | |
Texto completo: | http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0100-879X2008000500007 |
País: | Brasil |
Oai: | oai:scielo:S0100-879X2008000500007 |