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Characterization of EMG patterns from proximal arm muscles during object- and orientation-specific grasps.
Martelloni, Chiara; Carpaneto, Jacopo; Micera, Silvestro.
Afiliación
  • Martelloni C; Advanced Robotics Technology and Systems (ARTS) Laboratory, Scuola Superiore Sant'Anna, Pisa 56127,Italy.
IEEE Trans Biomed Eng ; 56(10): 2529-36, 2009 Oct.
Article en En | MEDLINE | ID: mdl-19605312
ABSTRACT
Reach-to-grasp tasks are composed of several actions that are more and more considered as simultaneously controlled by the central nervous system in a feedforward manner (at least for well-known activities). If this hypothesis is correct, during prehension tasks, the activity of proximal muscles (and not only of the distal ones used to control finger movements) is modulated according to the kind of object to be grasped and its position. This means that different objects could be identified by processing the electromyographic (EMG) signals recorded from proximal muscles. In this paper, specific experiments have been carried out to support this hypothesis in able-bodied subjects. The results achieved seem to confirm this possibility by showing that the activation of proximal muscles can be statistically different for different grip types. This finding supports the hypothesis that proximal and distal muscles are simultaneously controlled during reaching and grasping. Moreover, this kind of information could allow the development of an EMG-based control strategy based on the natural muscular activities selected by the central nervous system.
Asunto(s)

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Brazo / Procesamiento de Señales Asistido por Computador / Músculo Esquelético / Fuerza de la Mano / Electromiografía Tipo de estudio: Prognostic_studies Límite: Adult / Female / Humans / Male Idioma: En Revista: IEEE Trans Biomed Eng Año: 2009 Tipo del documento: Article País de afiliación: Italia

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Brazo / Procesamiento de Señales Asistido por Computador / Músculo Esquelético / Fuerza de la Mano / Electromiografía Tipo de estudio: Prognostic_studies Límite: Adult / Female / Humans / Male Idioma: En Revista: IEEE Trans Biomed Eng Año: 2009 Tipo del documento: Article País de afiliación: Italia