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
License
GNU General Public License version 3.0 (GPLv3)Follow PyEEG, EEG Feature Extraction in Python
Other Useful Business Software
Build Securely on Azure with Proven Frameworks
Moving to the cloud brings new challenges. How can you manage a larger attack surface while ensuring great network performance? Turn to Fortinet’s Tested Reference Architectures, blueprints for designing and securing cloud environments built by cybersecurity experts. Learn more and explore use cases in this white paper.
Rate This Project
Login To Rate This Project
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.
