The effect of gamified robot-enhanced training on motor performance in chronic stroke survivors.

Autor:	Ozgur AG; Computer Human Interaction in Learning and Instruction (CHILI), École Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland.; Division of Robotics, Perception and Learning (RPL), EECS, KTH Royal Institute of Technology, Stockholm, Sweden., Wessel MJ; Defitech Chair of Clinical Neuroengineering, Neuro-X Institute (INX) and Brain Mind Institute (BMI), École Polytechnique Fédérale de Lausanne (EPFL), Geneva, Switzerland.; Defitech Chair of Clinical Neuroengineering, Clinique Romande de Réadaptation, Neuro-X Institute (INX) and Brain Mind Institute (BMI), École Polytechnique Fédérale de Lausanne (EPFL Valais), Sion, Switzerland.; Department of Neurology, University Hospital and Julius-Maximilians-University, Wuerzburg, Germany., Olsen JK; University of San Diego, San Diego, CA, USA., Cadic-Melchior AG; Defitech Chair of Clinical Neuroengineering, Neuro-X Institute (INX) and Brain Mind Institute (BMI), École Polytechnique Fédérale de Lausanne (EPFL), Geneva, Switzerland.; Defitech Chair of Clinical Neuroengineering, Clinique Romande de Réadaptation, Neuro-X Institute (INX) and Brain Mind Institute (BMI), École Polytechnique Fédérale de Lausanne (EPFL Valais), Sion, Switzerland., Zufferey V; Defitech Chair of Clinical Neuroengineering, Neuro-X Institute (INX) and Brain Mind Institute (BMI), École Polytechnique Fédérale de Lausanne (EPFL), Geneva, Switzerland.; Defitech Chair of Clinical Neuroengineering, Clinique Romande de Réadaptation, Neuro-X Institute (INX) and Brain Mind Institute (BMI), École Polytechnique Fédérale de Lausanne (EPFL Valais), Sion, Switzerland., Johal W; School of Computing and Information Systems, University of Melbourne, Victoria, Australia., Dominijanni G; Bertarelli Foundation Chair in Translational NeuroEngineering, Center for Neuroprosthetics and School of Engineering, Swiss Federal Institute of Technology (EPFL), Lausanne, Switzerland., Turlan JL; Neurological Rehabilitation Department of Clinique Romande de Réadaptation (SUVA), Sion, Switzerland., Mühl A; Neurological Rehabilitation Department of Clinique Romande de Réadaptation (SUVA), Sion, Switzerland., Bruno B; Computer Human Interaction in Learning and Instruction (CHILI), École Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland., Vuadens P; Neurological Rehabilitation Department of Clinique Romande de Réadaptation (SUVA), Sion, Switzerland., Dillenbourg P; Computer Human Interaction in Learning and Instruction (CHILI), École Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland., Hummel FC; Defitech Chair of Clinical Neuroengineering, Neuro-X Institute (INX) and Brain Mind Institute (BMI), École Polytechnique Fédérale de Lausanne (EPFL), Geneva, Switzerland.; Defitech Chair of Clinical Neuroengineering, Clinique Romande de Réadaptation, Neuro-X Institute (INX) and Brain Mind Institute (BMI), École Polytechnique Fédérale de Lausanne (EPFL Valais), Sion, Switzerland.; Clinical Neuroscience, University of Geneva Medical School, Geneva, Switzerland.
Jazyk:	angličtina
Zdroj:	Heliyon [Heliyon] 2022 Nov 21; Vol. 8 (11), pp. e11764. Date of Electronic Publication: 2022 Nov 21 (Print Publication: 2022).
DOI:	10.1016/j.heliyon.2022.e11764
Abstrakt:	Task-specific training constitutes a core element for evidence-based rehabilitation strategies targeted at improving upper extremity activity after stroke. Its combination with additional treatment strategies and neurotechnology-based solutions could further improve patients' outcomes. Here, we studied the effect of gamified robot-assisted upper limb motor training on motor performance, skill learning, and transfer with respect to a non-gamified control condition with a group of chronic stroke survivors. The results suggest that a gamified training strategy results in more controlled motor performance during the training phase, which is characterized by a higher accuracy (lower deviance), higher smoothness (lower jerk), but slower speed. The responder analyses indicated that mildly impaired patients benefited most from the gamification approach. In conclusion, gamified robot-assisted motor training, which is personalized to the individual capabilities of a patient, constitutes a promising investigational strategy for further improving motor performance after a stroke. Competing Interests: The authors declare no conflict of interest. (© 2022 The Author(s).)
Databáze:	MEDLINE
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