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