▷ #IEEE #PRC #YP Puerto Rico and Caribbean (Virtual Summit 2020): Clasificación de señales de Electroencefalografía (#EEG) con Redes Neuronales #NN en #FPGA

⭐⭐⭐⭐⭐ #IEEE #PRC #YP Puerto Rico and Caribbean (Virtual Summit 2020): Clasificación de señales de Electroencefalografía (#EEG) con Redes Neuronales #NN en #FPGA from Victor Asanza

• ➡️ #EEG #Classification #HumanMachineInterface #BCI #BrainComputerInterface #Emotiv
• ✅ #DigitalSystems #DigitalElectronic #DigitalCircuits #HDL #VHDL #FPGA

• Introduction

• Asanza, V., Pelaez, E., & Loayza, F. (2017, October). Supervised pattern recognition techniques for detecting motor intention of lower limbs in subjects with cerebral palsy. In Ecuador Technical Chapters Meeting (ETCM), 2017 IEEE (pp. 1-5). IEEE.
• 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.
• Kadoya, K., Lu, P., Nguyen, K., Lee-Kubli, C., Kumamaru, H., Yao, L., ... & Takashima, Y. (2016). Spinal cord reconstitution with homologous neural grafts enables robust corticospinal regeneration. Nature medicine.

• Field Programmable Gate Arrays #FPGAs

• https://vasanza.blogspot.com/p/shared-material.html

• Implementation of a Classification System of #EEG Signals Based on #FPGA

• 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.

• More #FPGA projects

• Asanza V., Sanchez G., Cajo R., Peláez E. (2021) Behavioral Signal Processing with Machine Learning Based on FPGA. In: Botto-Tobar M., Zamora W., Larrea Plúa J., Bazurto Roldan J., Santamaría Philco A. (eds) Systems and Information Sciences. ICCIS 2020. Advances in Intelligent Systems and Computing, vol 1273. Springer, Cham. https://doi.org/10.1007/978-3-030-59194-6_17

• V. A. Armijos, N. S. Chan, R. Saquicela and L. M. Lopez, "Monitoring of system memory usage embedded in FPGA," 2020 International Conference on Applied Electronics (AE), Pilsen, Czech Republic, 2020, pp. 1-4, doi: 10.23919/AE49394.2020.9232863.

• C. Cedeño Z., J. Cordova-Garcia, V. Asanza A., R. Ponguillo and L. Muñoz M., "k-NN-Based EMG Recognition for Gestures Communication with Limited Hardware Resources," 2019 IEEE SmartWorld, Ubiquitous Intelligence & Computing, Advanced & Trusted Computing, Scalable Computing & Communications, Cloud & Big Data Computing, Internet of People and Smart City Innovation (SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI), Leicester, United Kingdom, 2019, pp. 812-817.

• http://www.innovatefpga.com/cgi-bin/innovate/teams.pl?Id=AS027

• Asanza, V., Peláez, E., Loayza, F., Mesa, I., Díaz, J., & Valarezo, E. (2018, October). EMG Signal Processing with Clustering Algorithms for motor gesture Tasks. In 2018 IEEE Third Ecuador Technical Chapters Meeting (ETCM) (pp. 1-6). IEEE

• On going Jobs

• Questions

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• ✅ Implementation of a Classification System of #EEG Signals Based on #FPGA
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• ✅ Supervised Pattern Recognition Techniques for Detecting Motor Intention of Lower Limbs in Subjects with Cerebral Palsy #CP
• ✅ Clustering of #EEG Occipital Signals using K-means
• ✅ #EMG signal classification with Machine Learning #ML using #Matlab
• ✅ #EMG Signal Processing with #Clustering Algorithms for Motor Gesture Tasks