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EMG Patterns of Healthy Subjects with Shoulder Rehabilitation Robot

Artha Ivonita Simbolon, Kadek Heri Sanjaya, Augie Widyotriatmo

Year
2019
Citations
4

Abstract

Many rehabilitation robots have been developed. These robots provide different movement training. With the help of the robot, many people assume that the subject's movements are correct to do without seeing the internal condition of the subject's body as a result of using robots. One internal subject body that can be evaluated is by electromyography (EMG) measurement. In this study, an EMG evaluation was carried out during the use of a stroke rehabilitation robot manipulator where the EMG signal was measured using MYO Armband. The evaluation was done by comparing the RMS values of EMG signals when doing shoulder flexion-extension without and with robots. Comparison of RMS values shows an increase in force given when using a robot but there is no statistically significant pattern (t-test with p>0.05). Also seen also from the existing IMU output on MYO Armband, that the movement with the robot gives a pattern that is less smooth because of the correction of the movement provided by the robot.

Keywords

Physical medicine and rehabilitationRehabilitationRobotComputer scienceElectromyographyArtificial intelligencePhysical therapyMedicine

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