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

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...

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Detalles Bibliográficos
Autores principales: Ozgur, Arzu Guneysu, Wessel, Maximilian J., Olsen, Jennifer K., Cadic-Melchior, Andéol Geoffroy, Zufferey, Valérie, Johal, Wafa, Dominijanni, Giulia, Turlan, Jean-Luc, Mühl, Andreas, Bruno, Barbara, Vuadens, Philippe, Dillenbourg, Pierre, Hummel, Friedhelm C.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9708787/
https://www.ncbi.nlm.nih.gov/pubmed/36468121
http://dx.doi.org/10.1016/j.heliyon.2022.e11764
Descripción
Sumario: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.