Title: Design of a bionic arm using EMG signal processing and artificial intelligence

Authors: Olusola Kunle Akinde; Oreoluwa Victor Akanbi; Oluseyi Afolabi Adeyemi

Addresses: Department Electrical and Biomedical Engineering, First Technical University, Ibadan, Nigeria ' Department Electrical and Biomedical Engineering, First Technical University, Ibadan, Nigeria ' School of Physics, Engineering and Computer Science, University of Hertfordshire, Hatfield, UK

Abstract: Bionic arm, its development for those who are disadvantaged is the focus of this work. Electrocardiogram (ECG) was utilised in the work for the reception of brain electromyography (EMG) signal functions to control the arm. It is later deciphered using digital signal processing (DSP) through empirical mathematical equations to distinguish the EMG signals from different finger movements giving more room for recognising more complex finger movements rather than the commonly used method for transcription of EMG signals. Furthermore, utilising computer vision with python, another functional mode of operation was implemented for technical testing of the arm, controlled through the receptive movements of human fingers read from a personal computer (PC) camera. The architecture employed in this work generally improves the response time of the bionic arm through reduction in time needed to read and translate EMG signals and error calculations before primary usage by the amputees to prevent issues during usage.

Keywords: Arduino; electromyogram; EMG; digital signal processing; DSP; bionic arm; OpenCV; electrocardiogram; ECG.

DOI: 10.1504/IJBET.2024.143288

International Journal of Biomedical Engineering and Technology, 2024 Vol.46 No.4, pp.286 - 298

Received: 03 Apr 2022
Accepted: 21 Nov 2022
Published online: 12 Dec 2024 *

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