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...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Koya University
2023-10-01
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| Series: | ARO-The Scientific Journal of Koya University |
| Subjects: | |
| Online Access: | https://bp.koyauniversity.org/index.php/aro/article/view/1269 |