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Title: | Tacit adaptability on submaximal force control for ankle robotic training |
Authors: | Asín-Prieto, Guillermo; Asín-Prieto, Eduardo; Martínez-Expósito, Aitor; Pons Rovira, José Luis ![]() ![]() |
Keywords: | Torque Task analysis Robots Trajectory Training Force Measurement |
Issue Date: | 26-Mar-2019 |
Publisher: | Institute of Electrical and Electronics Engineers |
Citation: | 2019 Wearable Robotics Association Conference (WearRAcon) in Scottsdale, AZ, USA, 26 March 2019 |
Abstract: | This 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. |
Description: | Trabajo 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 |
URI: | http://hdl.handle.net/10261/209390 |
DOI: | 10.1109/WEARRACON.2019.8719397 |
Identifiers: | doi: 10.1109/WEARRACON.2019.8719397 isbn: 978-1-5386-8056-8 |
Appears in Collections: | (IC) Comunicaciones congresos |
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