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Feasibility of Synergy-Based Exoskeleton Robot Control in Hemiplegia

IEEE Trans Neural Syst Rehabil Eng. 2018 Jun;26(6):1233-1242. doi: 10.1109/TNSRE.2018.2832657.

Abstract

Here, we present a study on exoskeleton robot control based on inter-limb locomotor synergies using a robot control method developed to target hemiparesis. The robot control is based on inter-limb locomotor synergies and kinesiological information from the non-paretic leg and a walking aid cane to generate motion patterns for the assisted leg. The developed synergy-based system was tested against an autonomous robot control system in five patients with hemiparesis and varying locomotor abilities. Three of the participants were able to walk using the robot. Results from these participants showed an improved spatial symmetry ratio and more consistent step length with the synergy-based method compared with that for the autonomous method, while the increase in the range of motion for the assisted joints was larger with the autonomous system. The kinematic synergy distribution of the participants walking without the robot suggests a relationship between each participant's synergy distribution and his/her ability to control the robot: participants with two independent synergies accounting for approximately 80% of the data variability were able to walk with the robot. This observation was not consistently apparent with conventional clinical measures such as the Brunnstrom stages. This paper contributes to the field of robot-assisted locomotion therapy by introducing the concept of inter-limb synergies, demonstrating performance differences between synergy-based and autonomous robot control, and investigating the range of disability in which the system is usable.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Adult
  • Algorithms
  • Biomechanical Phenomena
  • Chronic Disease
  • Exoskeleton Device*
  • Feasibility Studies
  • Female
  • Gait
  • Hemiplegia / rehabilitation*
  • Humans
  • Locomotion / physiology
  • Male
  • Middle Aged
  • Range of Motion, Articular
  • Robotics*
  • Walking