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Published in:
2019 | OriginalPaper | Chapter
Personalizing Exoskeleton-Based Upper Limb Rehabilitation Using a Statistical Model: A Pilot Study
Authors : Camilla Pierella, Christian Giang, Elvira Pirondini, Nawal Kinany, Martina Coscia, Jenifer Miehlbradt, Cecile Magnin, Pierre Nicolo, Adrian G. Guggisberg, Silvestro Micera
Published in: Converging Clinical and Engineering Research on Neurorehabilitation III
Publisher: Springer International Publishing
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Abstract
Clinical studies have so far not been able to show if robotic therapy is superior to conventional methods. The personalization of robot-assisted therapy according to the individual motor deficits might contribute to reach this goal. Here we present a statistical approach to automatically personalize robotic rehabilitation. Our method uses different motor performance measures to estimate motor improvement and adapt the motor task within a treatment session. This approach was tested with a pilot sub-acute stroke patient and the outcome was compared to a similar patient who underwent conventional physical therapy. Pilot results showed better outcomes in clinical tests, kinematics and muscle activity for the subject who trained using the personalized robotic approach.