Robotic Platform with Visual Paradigm to Induce Motor Learning in Healthy Subjects

Guillermo Asín-Prieto*, José E. González, Jose L Pons, Juan C. Moreno

*Corresponding author for this work

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

2 Scopus citations

Abstract

Recent projects highlight how motor learning and a high level of attention control can potentially improve submaximal force production during recovery after stroke. This study focuses on the assessment of detailed metrics of force production and position control -healthy subjects- and their correlation with submaximal force production control learning during a new task consisting in maintaining the position for early rehabilitation after stroke. We used a Motorized Ankle Foot Orthosis (MAFO) with zero-torque control together with a visual paradigm interface to exert controlled torque profiles to the ankle of the subject. The subject is asked to follow the trajectories in the visual interface, while the robot disturbs the movement. The aim of the exercise is to improve the motor control by learning how to maintain the position to follow the trajectory, compensating the perturbations, in three possible training paradigms: (1) fixed torque, (2) progressive increase of torque, and (3) modulated torque based on score on the task. All training paradigms led to an improvement in the score comparing pre and post-training performances, so we concluded that this platform induces learning on healthy subjects. To sum up, we conclude that this tool is useful to induce learning in healthy subjects, and thus will keep improving the training paradigms, for the translation into a rehabilitative tool.

Original languageEnglish (US)
Title of host publicationROBOT 2017
Subtitle of host publication3rd Iberian Robotics Conference
EditorsLuis Montano, Nuno Lau, Alberto Sanfeliu, Anibal Ollero, Carlos Cardeira
PublisherSpringer Verlag
Pages569-579
Number of pages11
ISBN (Print)9783319708355
DOIs
StatePublished - Jan 1 2018
Event3rd Iberian Robotics Conference, ROBOT 2017 - Seville, Spain
Duration: Nov 22 2017Nov 24 2017

Publication series

NameAdvances in Intelligent Systems and Computing
Volume694
ISSN (Print)2194-5357

Conference

Conference3rd Iberian Robotics Conference, ROBOT 2017
CountrySpain
CitySeville
Period11/22/1711/24/17

Keywords

  • CVA
  • Motor control
  • Neural rehabilitation
  • Stroke recovery

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Computer Science(all)

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