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bciflow
  • Bciflow documentation
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Bciflow documentation

Bciflow is a Python package focused on Brain-Computer Interface (BCI)-related work. It provides tools for loading pre-established datasets, performing analysis, pre-processing, filtering, feature extraction, and classification, covering the entire process of creating BCI models.

Project Links

  • PyPI
  • GitHub
  • Issues

Package

  • Installation
  • Datasets
    • EEG Dictionary
      • CBCIC
      • MenGu
  • Modules
    • Temporal Filtering
      • Bandpass Filtering
      • Empirical Mode Decomposition (EMD)
      • Filter Bank
      • Cubic Resampling
      • FFT-based Resampling
      • Wavelet
    • Spatial Filtering
      • Common Spatial Patterns (CSP)
      • Euclidean Alignment (EA)
    • Feature Extraction
      • Average Power Spectral Density (APSD)
      • Curve Length
      • Log Power
      • Nonlinear Energy
      • Welch Periodogram
    • Feature Selection
      • Mutual Information Best Individual Features (MIBIF)
    • Classification
      • Naive Bayes Parzen Window (NBPW)
    • Core
      • Kfold
      • Util
    • Analysis
      • Metric Functions

Usage

  • Data Files
  • Examples
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