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Related Experiment Video

Updated: May 25, 2026

Sit-to-stand-and-walk from 120% Knee Height: A Novel Approach to Assess Dynamic Postural Control Independent of Lead-limb

Sit-to-stand-and-walk from 120% Knee Height: A Novel Approach to Assess Dynamic Postural Control Independent of Lead-limb

Published on: August 30, 2016

Velocity-dependent reference trajectory generation for the LOPES gait training robot.

N Tufekciler¹, E H F van Asseldonk, H van der Kooij

¹Department of Biomechanical Engineering, MIRA, University of Twente, Enschede, The Netherlands. a.n.tufekciler@utwente.nl

IEEE ... International Conference on Rehabilitation Robotics : [Proceedings]

|January 26, 2012

Summary

This summary is machine-generated.

This study presents a method for creating personalized walking trajectories for gait rehabilitation robots, enabling neurologically injured patients to train with natural gait patterns. The approach shows promise for improving patient recovery through adaptive robotic assistance.

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Clinical-oriented Three-dimensional Gait Analysis Method for Evaluating Gait Disorder

Clinical-oriented Three-dimensional Gait Analysis Method for Evaluating Gait Disorder

Published on: March 4, 2018

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Last Updated: May 25, 2026

Sit-to-stand-and-walk from 120% Knee Height: A Novel Approach to Assess Dynamic Postural Control Independent of Lead-limb

Sit-to-stand-and-walk from 120% Knee Height: A Novel Approach to Assess Dynamic Postural Control Independent of Lead-limb

Published on: August 30, 2016

Clinical-oriented Three-dimensional Gait Analysis Method for Evaluating Gait Disorder

Clinical-oriented Three-dimensional Gait Analysis Method for Evaluating Gait Disorder

Published on: March 4, 2018

Area of Science:

Robotics
Neurorehabilitation
Biomechanics

Background:

Neurological injuries often impair gait, necessitating effective rehabilitation strategies.
Robotic-assisted gait training offers a promising avenue for recovery.
Personalized and adaptive training trajectories are crucial for optimizing patient outcomes.

Purpose of the Study:

To assess the feasibility of generating velocity-dependent trajectories for gait rehabilitation.
To develop a method for creating patient-specific gait patterns for robotic training.
To evaluate the effectiveness of these trajectories in a robotic system.

Main Methods:

Reference gait trajectories were derived from treadmill walking data.
Key gait parameters were extracted and their velocity dependency analyzed using regression.
Spline interpolation was used to generate continuous gait patterns (position, velocity, acceleration).
A feedforward controller was integrated with an impedance controller for robot control.
The system was implemented on the LOPES gait rehabilitation robot and tested on healthy subjects.

Main Results:

Healthy subjects could walk naturally using the generated reference trajectories within the LOPES robot.
The approach successfully created velocity-dependent gait patterns.
The integration of controllers allowed for naturalistic movement simulation.

Conclusions:

The developed approach for generating velocity-dependent trajectories is feasible for gait rehabilitation.
Further technical refinement and clinical trials with both healthy and impaired individuals are needed.
Successful clinical transferability to aid neurologically injured patients requires additional validation.