v2.5.0

• Implemented interface for metrics
• Metrics can now return multiple values instead of only a single scalar
• Log files are written to the output directory
• Require at least IeegPrep 1.6.0 (>= PyMef 1.4.2) to fix the compilation of missing wheels
• Test for the evaluation of a range of baseline factor thresholds and metrics

v2.4.0

• Updated sampling for t-tests in the cross-projection metric
• Requires ieegprep 1.5.0 to include latest optimizations and fixes

v2.3.0

• Improved GUI: more settings, input checks and console output
• Small bugfix to cross projection metric

v2.2.0

• Implemented CLI support for CAR using the common average of only channels with low trial-variance
• GUI
  • Open using a CLI argument
  • Late re-referencing can now be configured in the preprocessing window
  • Small bugfixes and layout improvements

v2.1.0

• Implemented a GUI to more easily select and process datasets
• Now requires IeegPrep to be 1.2.0 or higher to benefit from a number of significant fixes
• Fixed waveform metric which broke the processing of datasets with a lower sampling-rate
• Improved relative path handling

v2.0.0

• iEEG data and BIDS functions were moved to a new package: ieegprep
• The reader wrapper class and the dependency on MNE have been completely replaced by our own readers in the 'ieegprep' package, enabling more memory efficient reading of the EDF and BrainVision data formats.
• Fixed acceptance of re-referencing CLI arguments
• Fixed the headbox column check
• Implemented more advanced listing/indexing of BIDS datasets
• Improved and more informative console output

v1.1.0

• Added option to re-reference per headbox
• Re-referencing methods and line-noise setting from config file
• BIDS validation is off by default, CLI argument now enables
• Small bugfixes

v1.0.3

• Initial release as a python package and docker app