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2015 ; 13
(4
): 471-86
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Wyrm: A Brain-Computer Interface Toolbox in Python
#MMPMID26001643
Venthur B
; Dähne S
; Höhne J
; Heller H
; Blankertz B
Neuroinformatics
2015[Oct]; 13
(4
): 471-86
PMID26001643
show ga
In the last years Python has gained more and more traction in the scientific
community. Projects like NumPy, SciPy, and Matplotlib have created a strong
foundation for scientific computing in Python and machine learning packages like
scikit-learn or packages for data analysis like Pandas are building on top of it.
In this paper we present Wyrm ( https://github.com/bbci/wyrm ), an open source
BCI toolbox in Python. Wyrm is applicable to a broad range of neuroscientific
problems. It can be used as a toolbox for analysis and visualization of
neurophysiological data and in real-time settings, like an online BCI
application. In order to prevent software defects, Wyrm makes extensive use of
unit testing. We will explain the key aspects of Wyrm's software architecture and
design decisions for its data structure, and demonstrate and validate the use of
our toolbox by presenting our approach to the classification tasks of two
different data sets from the BCI Competition III. Furthermore, we will give a
brief analysis of the data sets using our toolbox, and demonstrate how we
implemented an online experiment using Wyrm. With Wyrm we add the final piece to
our ongoing effort to provide a complete, free and open source BCI system in
Python.
free
free
free
