journal article·2021-11-23Open access

Control Strategies for Gait Tele-Rehabilitation System Based on Parallel Robotics

Antonio P. L. Bo, Leslie Casas, Gonzalo Cucho-Padin, Mitsuhiro Hayashibe, Dante Elias

Applied Sciences· Volume 11· Issue 23

Abstract

Among end-effector robots for lower limb rehabilitation, systems based on Stewart–Gough platforms enable independent movement of each foot in six degrees of freedom. Nevertheless, control strategies described in recent literature have not been able to fully explore the potential of such a mechatronic system. In this work, we propose two novel approaches for controlling a gait simulator based on Stewart–Gough platforms. The first strategy provides the therapist direct control of each platform using movement data measured by wearable sensors. The following scheme is designed to improve the level of engagement of the patient by enabling a limited degree of control based on trunk inclination. Both strategies are designed to facilitate future studies in tele-rehabilitation settings. Experimental results have illustrated the feasibility of both control interfaces, either in terms of system performance or user subjective evaluation. Technical capacity to deploy in tele-rehabilitation was also verified in this work.
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Research context

OpenAlex topics: Stroke Rehabilitation and Recovery · Prosthetics and Rehabilitation Robotics · Muscle activation and electromyography studies

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

Electrical Engineering Department, University of Brasilia, Brasilia 70910-900, Brazil

Department of Computer Aided Medical Procedures and Augmented Reality, Technische Universität München, 80333 München, Germany

Department of Physics, Catholic University of America, Washington, DC 20064, USA

NASA Goddard Space Flight Center, Greenbelt, MD 20771, USA

French Institute for Research in Computer Science and Automation (INRIA), 78150 Paris, France

Laboratory of Research in Biomechanics and Applied Robotics, Mechanical Engineering Department, Pontificia Universidad Católica del Perú (PUCP), Lima 15088, Peru

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