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Mechanisms of Motor Recovery in Chronic and Subacute Stroke Patients Following a Robot-Aided Training

Content Provider	IEEE Xplore Digital Library
Author	Mazzoleni, S. Puzzolante, L. Zollo, L. Dario, P. Posteraro, F.
Copyright Year	2008
Abstract	The aim of this article is to propose a methodology for analyzing different recovery mechanisms in subacute and chronic patients through evaluation of biomechanical parameters. Twenty-five post-stroke subjects, eight subacute and seventeen chronic, participated in the study. A 2-DoF robotic system was used for upper limb training. Two clinical scales were used for assessment. Forces and velocities at the robot's end-effector during the execution of upper limb planar reaching movements were measured. Clinical outcome measures show a significant decrease in motor impairment after the treatment both in chronic and subacute patients (MSS-SE, p<;0.001; FM, p<;0.05). Movement velocity increases after the robot-aided treatment in both groups. Mean values of forces exerted by subacute patients are lower than those observed in chronic patients, both at the beginning and at the end of robotic treatment, as in the latter the pathological pattern is already structured. Our results demonstrate that the monitoring of the forces exerted on the end-effector during robot-aided treatment can identify the specific motor recovery mechanisms at different stages. If the pathological pattern is not yet structured, rehabilitative interventions should be addressed toward the use of motor re-learning procedures; on the other hand, if the force analysis shows a strong pathological pattern, mechanisms of compensation should be encouraged.
Sponsorship	IEEE Computer Society
Page Count	6
File Size	607636
Starting Page	175
Ending Page	180
File Format	PDF
ISSN	19391412
Volume Number	7
Issue Number	2
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-01-01
Publisher Place	U.S.A.
Access Restriction	One Nation One Subscription (ONOS)
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Training Frequency modulation Force Robot kinematics Medical treatment Biomechanics assessment Robotics rehabilitation stroke upper limb
Content Type	Text
Resource Type	Article
Subject	Human-Computer Interaction Computer Science Applications

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