Key components of mechanical work predict outcomes in robotic stroke therapy

Key components of mechanical work predict outcomes in robotic stroke therapy

Abstract Background Clinical practice typically emphasizes active involvement during therapy. However, traditional approaches can offer only general guidance on the form of involvement that would be most helpful to recovery. Beyond assisting movement, robots allow comprehensive methods for measuring...

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Bibliographic Details
Main Authors: Zachary A. Wright, Yazan A. Majeed, James L. Patton, Felix C. Huang
Format: Article
Language:English
Published: BMC 2020-04-01
Series:Journal of NeuroEngineering and Rehabilitation
Subjects:
Stroke
Robotic therapy
Upper limb
Energetics
Neurorehabilitation
Outcomes
Online Access:http://link.springer.com/article/10.1186/s12984-020-00672-8

Internet

http://link.springer.com/article/10.1186/s12984-020-00672-8

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