Only one question. Will it deliver 100% recovery? The only goal in stroke! NO? then redesign it until it does!
Human Cognition-Based Power-Assisted Free Motion Object Manipulation for Automating Upper Arm Stroke Rehabilitation
Abstract:
We
proposed a 1DOF power assist robotic system to be used by stroke
patients for upper arm stroke rehabilitation. An object is tied with the
power assist robotic system so a human patient can lift it vertically
up and lower it down continuously for a long time for rehabilitation
practice. The power assist robotic system is designed to provide power
assistance to the patient in lifting and lowering the object. The amount
of power assistance can be changed that can change haptically perceived
weight or heaviness of the object and vice versa. As a result, the
stroke patient can adjust the perceived weight or heaviness of the
object at different stages of rehabilitation practices considering the
strength and ability of the patient to lift and lower the object with
the power assist system at different stages of rehabilitation progress.
We derived a computational model to compute power assistance levels of
the assist system. We applied a psychophysical method to determine power
assistance levels for different perceived weights or heaviness of the
manipulated object. We conducted an experiment to evaluate the
performance of the power assist robotic system based on an innovative
evaluation scheme using healthy human subjects. The results revealed
that the subjects were able to realize the variations in the power
assistance levels due to variations in the perceived weights or
heaviness of the manipulated object. A user study results demonstrated
satisfactory user interactions with the power assist robotic system. The
proposed approach and mechanism can help automate upper arm
rehabilitation of stroke patients, which can improve the quality of life
(QoL) of patients.
Published in: 2025 IEEE International Conference on Robotics and Technologies for Industrial Automation (ROBOTHIA)
Date of Conference: 12-12 April 2025
Date Added to IEEE Xplore: 09 May 2025
ISBN Information:
Conference Location: Kuala Lumpur, Malaysia
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