Tacit adaptability on submaximal force control for ankle robotic training

Guillermo Asín-Prieto, Eduardo Asín-Prieto, Aitor Martínez-Expósito, Jose L Pons, Juan C. Moreno

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Scopus citations

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.

Original languageEnglish (US)
Title of host publication2019 Wearable Robotics Association Conference, WearRAcon 2019
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages74-79
Number of pages6
ISBN (Electronic)9781538680568
DOIs
StatePublished - May 21 2019
Event2019 Wearable Robotics Association Conference, WearRAcon 2019 - Scottsdale, United States
Duration: Mar 25 2019Mar 27 2019

Publication series

Name2019 Wearable Robotics Association Conference, WearRAcon 2019

Conference

Conference2019 Wearable Robotics Association Conference, WearRAcon 2019
CountryUnited States
CityScottsdale
Period3/25/193/27/19

ASJC Scopus subject areas

  • Artificial Intelligence
  • Human-Computer Interaction
  • Control and Optimization
  • Human Factors and Ergonomics

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  • Cite this

    Asín-Prieto, G., Asín-Prieto, E., Martínez-Expósito, A., Pons, J. L., & Moreno, J. C. (2019). Tacit adaptability on submaximal force control for ankle robotic training. In 2019 Wearable Robotics Association Conference, WearRAcon 2019 (pp. 74-79). [8719397] (2019 Wearable Robotics Association Conference, WearRAcon 2019). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/WEARRACON.2019.8719397