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Robot-aided neurorehabilitation: A novel robot for ankle rehabilitation

Authors :
Massachusetts Institute of Technology. Department of Brain and Cognitive Sciences
Massachusetts Institute of Technology. Department of Mechanical Engineering
Hogan, Neville
Roy, Anindo
Krebs, Hermano Igo
Williams, Dustin J.
Bever, Christopher T.
Forrester, Larry W.
Macko, Richard M.
Massachusetts Institute of Technology. Department of Brain and Cognitive Sciences
Massachusetts Institute of Technology. Department of Mechanical Engineering
Hogan, Neville
Roy, Anindo
Krebs, Hermano Igo
Williams, Dustin J.
Bever, Christopher T.
Forrester, Larry W.
Macko, Richard M.
Source :
IEEE
Publication Year :
2010

Abstract

In this paper, we present the design and characterization of a novel ankle robot developed at the Massachusetts institute of technology (MIT). This robotic module is being tested with stroke patients at Baltimore Veterans administration medical center. The purpose of the on-going study is to train stroke survivors to overcome common foot drop and balance problems in order to improve their ambulatory performance. Its design follows the same guidelines of our upper extremity designs, i.e., it is a low friction, backdriveable device with intrinsically low mechanical impedance. Here, we report on the design and mechanical characteristics of the robot. We also present data to demonstrate the potential of this device as an efficient clinical measurement tool to estimate intrinsic ankle properties. Given the importance of the ankle during locomotion, an accurate estimate of ankle stiffness would be a valuable asset for locomotor rehabilitation. Our initial ankle stiffness estimates compare favorably with previously published work, indicating that our method may serve as an accurate clinical measurement tool.<br />United States. Dept. of Veteran Affairs (Rehabilitation Research and Development Service under Grant B2294T)<br />Baltimore Veterans Affairs Medical Center ("Center of Excellence on Task-Oriented Exercise and Robotics in Neurological Diseases" under Grant B3688R)

Details

Database :
OAIster
Journal :
IEEE
Notes :
application/pdf, en_US
Publication Type :
Electronic Resource
Accession number :
edsoai.on1141892793
Document Type :
Electronic Resource