Rehabilitation Robotics: Performance-Based Progressive Robot-Assisted Therapy |
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Authors: | HI Krebs JJ Palazzolo L Dipietro M Ferraro J Krol K Rannekleiv BT Volpe N Hogan |
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Affiliation: | (1) Department of Mechanical Engineering, Newman Laboratory for Biomechanics and Human Rehabilitation, Massachusetts Institute of Technology, 77 Massachusetts Ave, 3-137, Cambridge, MA 02139, USA;(2) Department Neurology and Neuroscience, Burke Medical Research Institute, Weill Medical College of Cornell University, White Plains, NY, USA;(3) Scuola Superiore Sant'Anna, Pisa, Italy;(4) Burke Rehabilitation Hospital, White Plains, NY, USA;(5) Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, USA |
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Abstract: | In this paper we describe the novel concept of performance-based progressive robot therapy that uses speed, time, or EMG thresholds to initiate robot assistance. We pioneered the clinical application of robot-assisted therapy focusing on stroke—the largest cause of disability in the US. We have completed several clinical studies involving well over 200 stroke patients. Research to date has shown that repetitive task-specific, goal-directed, robot-assisted therapy is effective in reducing motor impairments in the affected arm after stroke. One research goal is to determine the optimal therapy tailored to each stroke patient that will maximize his/her recovery. A proposed method to achieve this goal is a novel performance-based impedance control algorithm, which is triggered via speed, time, or EMG. While it is too early to determine the effectiveness of the algorithm, therapists have already noted one very strong benefit, a significant reduction in arm tone. |
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Keywords: | rehabilitation robotics stroke robot-aided neurorehabilitation adaptive algorithm |
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