▷ Control of Upper and Lower Limb Prostheses using a Real-Time #EEG Signal Classification System

⭐⭐⭐⭐⭐ Control of Upper and Lower Limb Prostheses using a Real-Time #EEG Signal Classification System

• ➡️ #EEG #Classification #HumanMachineInterface #BCI #BrainComputerInterface
• When using this resource, please cite the original publication: 
• Constantine, A., Asanza, V., Loayza, F. R., Peláez, E., & Peluffo-Ordóñez, D. (2021). BCI System using a Novel Processing Technique Based on Electrodes Selection for Hand Prosthesis Control. IFAC-PapersOnLine, 54(15), 364-369.
• V. Asanza, A. Constantine, S. Valarezo and E. Peláez, "Implementation of a Classification System of EEG Signals Based on FPGA," 2020 Seventh International Conference on eDemocracy & eGovernment (ICEDEG), Buenos Aires, Argentina, 2020, pp. 87-92, doi: 10.1109/ICEDEG48599.2020.9096752.
• Asanza, V., Pelaez, E., & Loayza, F. (2017, October). EEG signal clustering for motor and imaginary motor tasks on hands and feet. In Ecuador Technical Chapters Meeting (ETCM), 2017 IEEE (pp. 1-5). IEEE.
• Asanza, V., Ochoa, K., Sacarelo, C., Salazar, C., Loayza, F., Vaca, C., & Peláez, E. (2016, October). Clustering of EEG occipital signals using k-means. In Ecuador Technical Chapters Meeting (ETCM), IEEE (pp. 1-5). IEEE.

 

Hey everyone!

In this work an experimental methodology was developed using OpenBCI for the acquisition of EEG signals from 24 volunteer subjects. The volunteers are work and research colleagues from ESPOL University.

EEG signal preprocessing techniques are used to eliminate noise components. In addition, feature extraction algorithms were used to extract features from each EEG electrode. Next, some classifiers were trained and those with the highest accuracy were selected. Finally, the best classifiers were used to classify motor tasks in real-time and control two active prostheses.

• ✅ OpenBCI
• https://openbci.com/community/?p=17027
• ✅ Source codes:
• https://github.com/Human-Machine-Interface
• ✅ Some related work includes the following:
• https://doi.org/10.1016/j.ifacol.2021.10.283
• https://doi.org/10.1016/j.ifacol.2021.10.287
• https://ieeexplore.ieee.org/abstract/document/9399035
• https://ieeexplore.ieee.org/document/9096752
• https://ieeexplore.ieee.org/abstract/document/8247451
• ✅ Read more information about the author:
• https://orcid.org/0000-0002-2786-4162

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