GitHub - laks0723/EEG-Signal-Preprocessing-for-BCI-Applications: EEG signal preprocessing is essential for improving the quality of brain signals by removing noise and artifacts. It helps isolate meaningful features, making the data more suitable for analysis and classification. This step significantly boosts the performance and adaptability of BCI systems in real-world scenarios.

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EEG signal preprocessing is essential for improving the quality of brain signals by removing noise and artifacts. It helps isolate meaningful features, making the data more suitable for analysis and classification. This step significantly boosts the performance and adaptability of BCI systems in real-world scenarios.

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EEG using MATLAB.pdf		EEG using MATLAB.pdf
RESULTS.docx		RESULTS.docx
eeg-emotion-prediction.ipynb		eeg-emotion-prediction.ipynb