Electric wheelchair with forward-reverse control using electromyography (EMG) control of arm muscle

Author:

Rakasena E P G,Herdiman L

Abstract

Abstract Muscle dystrophy can occur in the body’s organs of human movements such as the legs, thighs, upper arms, palms and fingers of humans so that the sufferer cannot use limbs. Electric wheelchair is not effective for people with muscle dystrophy disabilities, because users have limitations such as defect of the hands. Given these circumstances, this research proposes an electric wheelchair with controlled by electromyography (EMG) which is placed on the arm muscles. This Electric wheelchair use 2-channel electrodes for sampling muscle signal. This research was conducted in Balai Besar Rehabilitasi Sosial Penyandang Disabilitas Fisik (BBRSPDF) Surakarta, Indonesia. The results of the first grip strength testing are less than 35.8 kgf that indicates weakness of the hand grip. The same thing in the second treatment is a weakness in the handle because of n less than 35.8 kgf. The result of robustness test, spherical movement is not robust with a value 0.756 and. 0.000. The result of cylindrical movement is fully robust with a value 0.001 and 0.000. The result of lateral movement is fully robust with a value 0.000 and 0.000. The result of tip movement is fully robust with a value 0.000 and 0.029. The result of hook movement is not robust with a value 0.109 and 0.000.

Publisher

IOP Publishing

Subject

General Physics and Astronomy

Cited by 7 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Design of Wheelchair Using Body Position Tracking Designed For Paralyzed Patients;2024 14th International Conference on Electrical Engineering (ICEENG);2024-05-21

2. A Smart Electronic Wheelchair Design Using Artificial Intelligence and Intelligent Sensors Association;2024 International Conference on Intelligent and Innovative Technologies in Computing, Electrical and Electronics (IITCEE);2024-01-24

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4. Analysis and Considerations of the Controllability of EMG-Based Force Input;Lecture Notes in Computer Science;2023

5. Evaluation of Gated-Recurrent Unit for Estimating Finger-Joint Angle using Surface Electromyography Signal;2022 9th International Conference on Electrical Engineering, Computer Science and Informatics (EECSI);2022-10-06

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