Wheelchair for Quadriplegic Patient with Electromyography Signal Control Wireless

Endro Yulianto,Bima Triwahyu Mega Nugraha,Suharyati Suharyati,Tri Bowo Indrato

doi:10.3991/ijoe.v16i12.15721

Abstract

<p class="0abstract">Quadriplegia is a paralysis condition in both arms and legs so that the patient is only able to move his neck and head. Manual or electric wheelchairs with joystick or switch control as a tool for people with paralysis certainly cannot be controlled independently by quadriplegia sufferers. This study aimed to help quadriplegia sufferers not to depend on others in carrying out daily activities by developing electric wheelchairs that can be controlled independently. The bioelectric signal which has only been used for diagnostic purposes can be utilized as an electric wheelchair control system for quadriplegia sufferers. In this study, electric wheelchairs were controlled by electromyography (EMG) signals from muscle contractions that can be driven by quadriplegia sufferers, namely the neck and face muscles. The increase in EMG signal amplitude during the muscle contraction is used as a trigger for the electric motor in a wheelchair to move forward, backward, turn right, and turn left. An electronic circuit for signal conditioning was used to amplify the EMG signal leads and filter frequencies that are not needed by the system before being processed by the microcontroller circuit. The use of wireless systems was developed to reduce the use of cables connecting electrodes to patients with electronic devices that will provide comfort to the user. Based on the results of the data collection on the wheelchair system, the detectability and selectivity values were for the 100% and 94% forward commands, 94.33% and 100% reverse commands, 92.31%, and 96% right turn commands and 97.96% and 94.12% left turn commands. The electric wheelchair system with EMG signal control is expected to help the mobility of quadriplegia sufferers.</p>

Highlights

Quadriplegia or often referred to as tetraplegia, is defined as paralysis caused by illness or injury to a human nervous system that results in the partial or total loss of use of all four limbs, namely the hands and feet
Some types of physiological signals that can be used on human-computer interface (HCI) systems include voice commands [1], hand movements [2], [3], head movements [4], electroencephalograph signals (EEG) [5]–[7], electrooculography signals (EOG) [8], [9] and electromyography signals (EMG) [9]–[16]
Based on the description of the library study, this research aims to help the quadriplegic people to be more independent in conducting daily activities by making the design of electric wheelchairs controlled by EMG signals through contraction and relaxation of muscles

Summary

Introduction

Quadriplegia or often referred to as tetraplegia, is defined as paralysis caused by illness or injury to a human nervous system that results in the partial or total loss of use of all four limbs, namely the hands and feet. The paralysis of the four limbs causes the dependence on others to carry out daily activities to become very dominant, even mobility has done with a wheelchair needs help from others. For a wheelchair to be used independently it needs a special control system that utilizes internal resources in the form of physiological signals from quadriplegic people. Research that aims to help people with paralysis by utilizing physiological signals that are converted into signals that can be recognized by machines or computers to help their daily activities has been widely carried out. Some types of physiological signals that can be used on HCI systems include voice commands [1], hand movements [2], [3], head movements [4], electroencephalograph signals (EEG) [5]–[7], electrooculography signals (EOG) [8], [9] and electromyography signals (EMG) [9]–[16]

Objectives

Methods

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Conclusion