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

⭐⭐⭐⭐⭐ Implementation of a Classification System of #EEG Signals Based on #FPGA from Victor Asanza

• ➡️ #EEG #Classification #HumanMachineInterface #BCI #BrainComputerInterface
• ➡️ ICEDEG2020: 2020 Seventh International Conference on eDemocracy & eGovernment (ICEDEG)
• ⭐ Read full paper: https://ieeexplore.ieee.org/document/9096752
• ✅ Read Proceedings: https://www.computer.org/csdl/proceedings/icedeg/2020/1jZacXR14xa
• When using this resource, please cite the original publication:
• 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.
• ✅ Abstract:
• In the field of prosthetics, different technologies have been incorporated in recent years to improve their development and control, likewise the application of Field-Programmable Gate Arrays (FPGA) related to the Biomedicine field has increased due to its flexibility to perform multiple instructions in a reduced amount of time. This paper presents the implementation of a classification system based on FPGA capable of classifying characterized data, representing an imaginary motor task and a motor task in lower extremities. A three-layer feed-forward neural network was designed in Matlab, testing different architectures to assess the performance of the classifier, using methods such as the confusion matrix and the ROC curve.

✅ Conference content:

• ✅ References:

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