Post-Stroke Rehabilitation Exosceleton Movement Control using EMG Signal

Abstract

Post-stroke rehabilitation device is very important nowadays, considering the high rate of disability caused by stroke especially arm function. About 50% of stroke survivors experience the unilateral motor deficits which decreased upper extremity function. Therefore, hand and shoulders therapy are generally performed in advance to support patients' daily activities. Electromyograph (EMG) signals from selective muscles were proven to provide additional power for post-stroke rehabilitation device to recover more quickly because the patient participates actively in rehabilitation. This paper describes a preliminary prototype of upper limb exoskeleton for post-stroke therapy devices utilizes automatic control algorithm to control human arm movement with one degree of freedom based on a myoelectric signal of muscle biceps brachii from their unaffected side. This study used low-cost instruments and digital signal processing, such as IIR low pass filter followed by Kalman filter to generate the myoelectric signal that separated from noise as an input for controlling the DC motor which moved the exoskeleton of arm therapy mechanic. The accuracy of system performance in this study was 95%. Hopefully, this device can help stroke survivors to perform therapy independently without depending on therapists so that rehabilitation will be more effective and efficient.

The Effect of Financial Compensation and Job Satisfaction Against Turnover Intention at Muhammadiyah Hospital Employees Palembang

“…Human participation in groups and organizations is called human resources. Human resources are seen as an important corporate asset, because human resources are dynamic and always needed in every process of producing goods and services [3] [4].…”

Measuring Biosignals with Single Circuit Boards

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Application of Bio-Electrical Instruments for Monitoring the Effect of Muscle Massage on Post-Stroke Patients Through Electromyography Signal Measurement

“…As stated by previous researchers, bio-electrical signals or electromyography are influenced by muscle contractions in the related limbs [1]- [5] Whether or not the muscle contraction is normal is influenced by the functionality of the limbs, for example the upper limbs (hands and arms) or the lower limbs (legs). So for post-stroke patients who experience paralysis, it will indirectly affect the characteristics of muscle bioelectrical signals (EMG) both in amplitude and frequency [6]- [10].…”