A Python function library to extract EEG feature from EEG time series in standard Python and numpy data structure. Features include classical spectral analysis, entropies, fractal dimensions, DFA, inter-channel synchrony and order, etc.

Features

  • only in Python and numpy data structure
  • computing various of features used in research of EEG time series
  • interface to export features into svmlight- and libsvm- compatible format

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License

GNU General Public License version 3.0 (GPLv3)

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User Reviews

  • I like the idea about this project! It can be used for detecting early symptoms of Alzheimer disease based on EEG. In the future maybe everyone will have an EEG device at home which makes a quick test for neurodegenerative diseases. I wonder if I could base my Phd in this area.
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Additional Project Details

Languages

English

Intended Audience

Healthcare Industry, Science/Research, Education, Advanced End Users, Developers, Engineering

User Interface

Other toolkit

Programming Language

Python

Related Categories

Python Medical Software, Python Information Analysis Software, Python Machine Learning Software

Registered

2009-12-05