neural-signal-analysis 0.2.1

A comprehensive Python library for EEG data analysis including FFT, Higuchi Fractal Dimension, Transfer Entropy, and more.

Neural Signal Analysis Library

The neural_signal_analysis library is a comprehensive Python package for EEG data analysis. It encompasses a wide range of functionalities including FFT (Fast Fourier Transform), Higuchi Fractal Dimension, Transfer Entropy, Welch's Power Spectral Density, and more, providing a toolkit for researchers and developers working with neural signal data.

Installation

To install neural_signal_analysis, simply run:

pip install neural_signal_analysis

Ensure you have Python 3.7 or later installed.

Modules: FFT (Fast Fourier Transform) STFT Signal (Short-Time Fourier Transform) Frequency Maximum Power Higuchi Fractal Dimension MFDFA Neural (Multifractal Detrended Fluctuation Analysis) Phase Space 2D Phase Space 3D Spectral Centroids Spectral Edge Density Spectral Entropy Signals Transfer Entropy All Signals Transfer Entropy Hemispheric Transfer Entropy Regional Welchs PSD (Power Spectral Density)

Example usage:

from neural_signal_analysis import WelchsPSD

Contributing

Contributions to neural_signal_analysis are welcome! If you have suggestions for improvements or encounter any issues, please feel free to open an issue or submit a pull request on our

License

This project is licensed under the CC BY-SA 4.0 License - see the LICENSE file for details.