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Tacit adaptability on submaximal force control for ankle robotic training

AuthorsAsín-Prieto, Guillermo; Asín-Prieto, Eduardo; Martínez-Expósito, Aitor; Pons Rovira, José Luis ; Moreno, Juan Camilo
Task analysis
Issue Date26-Mar-2019
PublisherInstitute of Electrical and Electronics Engineers
Citation2019 Wearable Robotics Association Conference (WearRAcon) in Scottsdale, AZ, USA, 26 March 2019
AbstractThis study is part of our research on the use of a submaximal force generation task for early rehabilitation of ankle joint movements after stroke. We present the evaluation of metrics related to force generation and position control, and their relationship with submaximal force generation control learning, as well as their attainability for robot-mediated treatment after a cerebrovascular accident. In experiments with a group of healthy individuals we have found a decrease in the error and increase in the score of our proposed biofeedback game. We concluded that the proposed protocol and the rehabilitation robotic tool are able to promote motor learning in healthy individuals.
DescriptionTrabajo presentado en 2019 Wearable Robotics Association Conference (WearRAcon) in Scottsdale, AZ, EE.UU., el 26 Marzo de 2019.
Publisher version (URL)http://dx.doi.org/10.1109/WEARRACON.2019.8719397
Identifiersdoi: 10.1109/WEARRACON.2019.8719397
isbn: 978-1-5386-8056-8
Appears in Collections:(IC) Comunicaciones congresos
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