Enhancing Upper Limb Prosthetic Control in Amputees Using Non-invasive EEG and EMG Signals with Machine Learning Techniques

Enhancing Upper Limb Prosthetic Control in Amputees Using Non-invasive EEG and EMG Signals with Machine Learning Techniques

Amputation of the upper limb significantly hinders the ability of patients to perform activities of daily living. To address this challenge, this paper introduces a novel approach that combines non-invasive methods, specifically Electroencephalography (EEG) and Electromyography (EMG) signals, with...

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Bibliographic Details
Main Authors: Huda M. Radha, Alia K. Abdul Hassan, Ali H. Al-Timemy
Format: Article
Language:English
Published: Koya University 2023-10-01
Series:ARO-The Scientific Journal of Koya University
Subjects:
Upper limb amputees
Prosthetic control
EEG and EMG signals
Machine learning
Movement recognition
Online Access:https://bp.koyauniversity.org/index.php/aro/article/view/1269

Internet

https://bp.koyauniversity.org/index.php/aro/article/view/1269

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