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signal-processing-on-graphs

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A classical digital signal processing (DSP) library in Python for generating realistic synthetic physiological signals (ECG, EEG, EMG, PPG, EDA, respiration) with parameterized physical noise models.

  • Updated Jun 4, 2026
  • Python

Deep learning system that interprets brain signals from EEG/fMRI to control devices, predict neurological disorders, and enable brain-computer interfaces.

  • Updated Nov 7, 2025
  • Python

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