DocumentCode :
1121914
Title :
Robot-Aided Neurorehabilitation: A Robot for Wrist Rehabilitation
Author :
Krebs, Hermano Igo ; Volpe, Bruce T. ; Williams, Dustin ; Celestino, James ; Charles, Steven K. ; Lynch, Daniel ; Hogan, Neville
Author_Institution :
Massachusetts Inst. of Technol., Cambridge
Volume :
15
Issue :
3
fYear :
2007
Firstpage :
327
Lastpage :
335
Abstract :
In 1991, a novel robot, MIT-MANUS, was introduced to study the potential that robots might assist in and quantify the neuro-rehabilitation of motor function. MIT-MANUS proved an excellent tool for shoulder and elbow rehabilitation in stroke patients, showing in clinical trials a reduction of impairment in movements confined to the exercised joints. This successful proof of principle as to additional targeted and intensive movement treatment prompted a test of robot training examining other limb segments. This paper focuses on a robot for wrist rehabilitation designed to provide three rotational degrees-of-freedom. The first clinical trial of the device will enroll 200 stroke survivors. Ultimately 160 stroke survivors will train with both the proximal shoulder and elbow MIT-MANUS robot, as well as with the novel distal wrist robot, in addition to 40 stroke survivor controls. So far 52 stroke patients have completed the robot training (ongoing protocol). Here, we report on the initial results on 36 of these volunteers. These results demonstrate that further improvement should be expected by adding additional training to other limb segments.
Keywords :
biomechanics; medical robotics; neurophysiology; patient rehabilitation; MIT-MANUS; distal wrist robot; motion impairment; motor function; robot training; robot-aided neuro-rehabilitation; rotational degrees-of-freedom; stroke patients; wrist rehabilitation; Neurorehabilitation; rehabilitation robotics; stroke; wrist robot; Diagnosis, Computer-Assisted; Equipment Design; Equipment Failure Analysis; Exercise Movement Techniques; Exercise Therapy; Humans; Motion Therapy, Continuous Passive; Movement Disorders; Neurology; Rehabilitation; Robotics; Stroke; Technology Assessment, Biomedical; Therapy, Computer-Assisted; Wrist Joint;
fLanguage :
English
Journal_Title :
Neural Systems and Rehabilitation Engineering, IEEE Transactions on
Publisher :
ieee
ISSN :
1534-4320
Type :
jour
DOI :
10.1109/TNSRE.2007.903899
Filename :
4303104
Link To Document :
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