Staffordshire University logo
STORE - Staffordshire Online Repository

Design and Implementation of Myoelectric Controlled Arm

Younes, Tariq M., AlKhedher, Mohammad A., SOLIMAN, Abdel-Hamid and Al Alawin, Aiman (2019) Design and Implementation of Myoelectric Controlled Arm. Journal of Mechatronics and Robotics, 3 (1). pp. 552-562. ISSN 2617-0345

[img] Text
Design and Implementation of Myoelectric Controlled Arm-revised.docx - AUTHOR'S ACCEPTED Version (default)
Available under License Creative Commons Attribution 4.0 International (CC BY 4.0) .

Download (3MB)

Abstract or description

In this paper, a discrimination system, using a neural network for electromyogram (EMG) externally controlled Arm is proposed. In this system, the Artificial Neural Network (ANN) is used to learn the relation between the power spectrum of EMG signal analysed by Fast Fourier Transform (FFT) and the performance desired by handicapped people. The Neural Network can discriminate 4 performances of the EMG signals simultaneously. The digital signal processing was realized using MATLAB and LabVIEW software.

Item Type: Article
Faculty: School of Creative Arts and Engineering > Engineering
Depositing User: Abdel-Hamid SOLIMAN
Date Deposited: 27 Jan 2020 11:03
Last Modified: 24 Feb 2023 13:58

Actions (login required)

View Item View Item

DisabledGo Staffordshire University is a recognised   Investor in People. Sustain Staffs
Legal | Freedom of Information | Site Map | Job Vacancies
Staffordshire University, College Road, Stoke-on-Trent, Staffordshire ST4 2DE t: +44 (0)1782 294000