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Real-Time, Simultaneous and Proportional Myoelectric Control for Robotic Rehabilitation Therapy of Stroke Survivors

YoungJin Jung*, Ph.D., Hae Yean Park**, Ph.D., O.T., Kinsuk Maitra***, PhD, O.T.R./L., F.A.O.T.A., Nagarajan Prabakar****, Ph.D., Jong-Hoon Kim*****, Ph.D. *Dept. of Radiological Science at Health Science Division, Dongseo University, Busan, South Korea **Dept. of Occupational Therapy, College of Health Science, Yonsei University, South Korea ***Dept. of Occupational Therapy, School of Nursing & Health Professions, Georgia State University, Atlanta, GA, USA ****School of Computing and Information Sciences, Florida International University, Miami, FL, USA *****Dept. of Computer Science, Kent State University, Kent, OH, USA


Abstract 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.