MEDUSA© Kernel
An independent PyPI package that encapsulates all classes and functions required to record and process the biosignals of our experiments!
Eduardo Santamaría-Vázquez, Víctor Martínez-Cagigal, Diego Marcos-Martínez, Víctor Rodríguez-González, Sergio Pérez-Velasco, Selene Moreno-Calderón, Roberto Hornero, MEDUSA©: A novel Python-based software ecosystem to accelerate brain-computer interface and cognitive neuroscience research. Computer Methods and Programs in Biomedicine, 2023, DOI: doi.org/10.1016/j.cmpb.2023.107357 .
Latest Version
MEDUSA Kernel 1.1.3 release. Changelog:
Breaking changes:
- The spectral analysis, nonlinear analysis and connectivity analysis functions (both phase and amplitude based) support as input signals with dimensions [n_epochs, n_samples, n_channels].
- Update of Motor Imagery module: Changes in the MIData class.
- Update in Neurofeedback module: Now includes pipelines for real-time functional connectivity calculation.
- Laplacian surface filter update: Improved filter design in automatic mode.
Major changes:
- The algorithms of the nonlinear analysis and connectivity analysis functions have been optimized and calculations are now faster.
Minor changes:
- Legacy package medusa.bci.remote has been eliminated
- Tensorflow versions fixed to avoid problems: tensorflow==2.11; tensorflow-probability==0.16
Previous Versions
First major update of MEDUSA Kernel, a complete suite of functions for biosignal processing.
Breaking changes:
- Phase connectivity improved for real time calculation
- More functions accept both input shapes [epochs x time x channels] and [time x channels]
- Improved documentation
First public release of MEDUSA Kernel, a complete suite of functions for biosignal processing. Available in the Python Package Index (PyPI) repository.