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Toward Improved Sensorimotor Integration and Learning Using Upper-limb Prosthetic Devices
Conference proceeding

Toward Improved Sensorimotor Integration and Learning Using Upper-limb Prosthetic Devices

R. Brent Gillespie, Jose Luis Contreras-Vidal, Patricia A. Shewokis, Marcia K. O. Malley, Jeremy D. Brown, Harshavardhan Agashe, Rodolphe Gentili, Alicia Davis, IEEE and Amy Davis
2010 ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY (EMBC), v 2010, pp 5077-5080
01 Jan 2010
PMID: 21096030

Abstract

Engineering Engineering, Biomedical Engineering, Electrical & Electronic Science & Technology Technology
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.

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Web of Science research areas
Engineering, Biomedical
Engineering, Electrical & Electronic
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