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Papers: 10.3390/s21175740

https://doi.org/10.3390/s21175740

BioPyC, an Open-Source Python Toolbox for Offline Electroencephalographic and Physiological Signals Classification

Cited by: 5
Author(s): Aurélien Appriou, Léa Pillette, David Trocellier, Dan Dutartre, Andrzej Cichocki, Fabien Lotte
Published: almost 4 years ago

Software Mentions 7

pypi: Biosig
BioSig - tools for biomedical signal processing
Papers that mentioned: 11
Very Likely Science (65)
pypi: gumpy
Genetics with Numpy
Papers that mentioned: 3
Very Likely Science (100)
pypi: pandas
Powerful data structures for data analysis, time series, and statistics
Papers that mentioned: 640
Very Likely Science (100)
pypi: pingouin
Pingouin: statistical package for Python
Papers that mentioned: 13
Very Likely Science (90)
pypi: pyriemann
Biosignals classification with Riemannian geometry
Papers that mentioned: 1
Likely Science (51)
pypi: scikit-learn
A set of python modules for machine learning and data mining
Papers that mentioned: 2,431
Very Likely Science (100)
pypi: Wyrm
Toolbox for Brain Computer Interfacing Experiments.
Papers that mentioned: 3
Very Likely Science (90)