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This repository enhances EEG signal reconstruction using CycleGAN to improve brain-computer interface (BCI) signals. By translating between MRI and EEG domains with Continuous Wavelet Transform (CWT), it aims to enhance low-quality or noisy EEG data.

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Sameer-Ahmed7/EEG-Signal-Reconstruction-CycleGAN

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Project Title:

Enhancing EEG Signal Reconstruction in Cross-Domain Adaptation Using CycleGAN

Overview:

This repository is part of my coursework for the Elective in Artificial Intelligence module, which includes four courses. This project is specifically for the course Data Processing For Advanced Machine Learning, taught by Professor Christian Napoli, as part of my Master’s in AI and Robotics at Sapienza University of Rome.

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This repository enhances EEG signal reconstruction using CycleGAN to improve brain-computer interface (BCI) signals. By translating between MRI and EEG domains with Continuous Wavelet Transform (CWT), it aims to enhance low-quality or noisy EEG data.

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