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signal-enhancement

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EEG-Signal-Enhancement-and-EMG-Noise-Reduction

EEG Signal Processing & Enhancement tool using Tkinter GUI. It performs bandpass filtering, EMG noise reduction via Wavelet Transform, and Savitzky-Golay smoothing. Supports EDF file input/output, visualization, and SNR calculation. Processed signals can be saved in EDF format. See README.md for details.

  • Updated Feb 7, 2025
  • Python

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.

  • Updated May 27, 2025
  • Jupyter Notebook

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