eeglib: A library with tools and functions for EEG signal analysis

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The module eeglib is a library for python 3.4+ that aims to be a set of tools to analyse EEG signals. It defines some data structures as well as some processing in order to make easier to work with EEG data.

Main features

  • Different types of processings (FFT, Averaged amplitude for each band, Synchronization Likelihood, Petrosian and Higuchi Fractal Dimensions, Hjorth Parameters, Detrended Fluctuation Analysis, Multiscale Sample Entropy, Lempel-Ziv Complexity, Cross Correlation Coefficient)
  • Load data from CSV files, Works with windows & Flexible to use