▷ 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
- ✅ Source codes:
- ✅ 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:
- ✅ 2021: Charla #FIEC - #SSVEP_EEG Signal Classification based on #Emotiv EPOC #BCI and #RaspberryPi
- ✅ 2021: Charla #FIEC - A 3D-Printed #EEG based #Prosthetic #Arm
- ✅2021 Paper: #SSVEP_EEG Signal Classification based on #Emotiv_EPOC #BCI and #RaspberryPi
- ✅ 2021: Charla #FIEC - A 3D-Printed #EEG based #Prosthetic #Arm
- ✅ 2020 Paper: Implementation of a Classification System of #EEG Signals Based on #FPGA
- ✅ 2019: Artificial Neural Network based #Accelerometer and #Gyroscope recognition for gesture communication (#InnovateFPGA)
- ✅ 2018 Paper: #EMG Signal Processing with Clustering Algorithms for Motor Gesture Tasks
- ✅ 2017 Paper: #EEG Signal Clustering for Motor and Imaginary Motor Tasks on Hands and Feet
- ✅ 2017 Paper: Supervised Pattern Recognition Techniques for Detecting Motor Intention of Lower Limbs in Subjects with Cerebral Palsy #CP
- ✅ 2016 Paper: Clustering of #EEG Occipital Signals using #K_means
- ✅ #EMG signal classification with Machine Learning #ML using #Matlab
- ✅ Epileptic seizure prediction with Machine Learning #ML using #Matlab
- ✅ #EEG signal classification with Machine Learning #ML using #Matlab
- ✅ Machine Learning #ML using #Matlab
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