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KMID : 1143320180070010079
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Therapeutic Science for Neurorehabilitation
2018 Volume.7 No. 1 p.79 ~ p.88
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Real-Time, Simultaneous and Proportional Myoelectric Control for Robotic Rehabilitation Therapy of Stroke Survivors
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Jung Young-Jin
Park Ha-Eun
Maitra Kinsuk
Prabakar Nagarajan
Kim Jong-Hoon
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Abstract
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Objective : Conventional therapy approaches for stroke survivors have required considerable demands on therapist’s effort and patient’s expense. Thus, new robotics rehabilitation therapy technologies have been proposed but they have suffered from less than optimal control algorithms. This article presents a novel technical healthcare solution for the real-time, simultaneous and propositional myoelectric control for stroke survivors’ upper limb robotic rehabilitation therapy.
Methods : To implement an appropriate computational algorithm for controlling a portable rehabilitative robot, a linear regression model was employed, and a simple game experiment was conducted to identify its potential of clinical utilization.
Results : The results suggest that the proposed device and computational algorithm can be used for stroke robot rehabilitation.
Conclusion : Moreover, we believe that these techniques will be used as a prominent tool in making a device or finding new therapy approaches in robot-assisted rehabilitation for stroke survivors.
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KEYWORD
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Proportional control, Regression model, Robot rehabilitation, sEMG
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