DocumentCode :
2920400
Title :
Toward improved sensorimotor integration and learning using upper-limb prosthetic devices
Author :
Gillespie, R. Brent ; Contreras-Vidal, Jose Luis ; Shewokis, Patricia A. ; O´Malley, Marcia K. ; Brown, Jeremy D. ; Agashe, Harshavardhan ; Gentili, Rodolphe ; Davis, Alicia
Author_Institution :
Dept. of Mech. Eng., Univ. of Michigan, Ann Arbor, MI, USA
fYear :
2010
fDate :
Aug. 31 2010-Sept. 4 2010
Firstpage :
5077
Lastpage :
5080
Abstract :
To harness the increased dexterity and sensing capabilities in advanced prosthetic device designs, amputees will require interfaces supported by novel forms of sensory feedback and novel control paradigms. We are using a motorized elbow brace to feed back grasp forces to the user in the form of extension torques about the elbow. This force display complements myoelectric control of grip closure in which EMG signals are drawn from the biceps muscle. We expect that the action/reaction coupling experienced by the biceps muscle will produce an intuitive paradigm for object manipulation, and we hope to uncover neural correlates to support this hypothesis. In this paper we present results from an experiment in which 7 able-bodied persons attempted to distinguish three objects by stiffness while grasping them under myoelectric control and feeling reaction forces displayed to their elbow. In four conditions (with and without force display, and using biceps myoelectric signals ipsilateral and contralateral to the force display,) ability to correctly identify objects was significantly increased with sensory feedback.
Keywords :
biomechanics; electromyography; grippers; haptic interfaces; medical robotics; neurophysiology; prosthetics; EMG; action-reaction coupling; biceps muscle; exoskeleton device; grasp forces; gripper device; motorized elbow brace; myoelectric control; reaction forces; sensorimotor integration; sensorimotor learning; sensory feedback; stiffness; upper-limb prosthetic devices; Elbow; Electroencephalography; Electromyography; Force; Force feedback; Grippers; Prosthetics; Artificial Limbs; Brain Mapping; Elbow Joint; Electromyography; Feedback, Sensory; Hand Strength; Humans; Learning; Prosthesis Design; Upper Extremity;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Engineering in Medicine and Biology Society (EMBC), 2010 Annual International Conference of the IEEE
Conference_Location :
Buenos Aires
ISSN :
1557-170X
Print_ISBN :
978-1-4244-4123-5
Type :
conf
DOI :
10.1109/IEMBS.2010.5626206
Filename :
5626206
Link To Document :
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