Releases: MultimodalNeuroimagingLab/ieegprep
Releases · MultimodalNeuroimagingLab/ieegprep
v1.6.1
v1.6.0
- Metrics can now return multiple values instead of only a single scalar
- PyMef 1.4.2 is required to fix the compilation of missing wheels
v1.5.0
- Removed Pandas dependency, now reading tsv files using a lighter solution
- Added a helper function to load BIDS events (including stimulation pairs)
- Removed various imports inbetween packages
- Specific dependencies are now loaded lazily
v1.4.1
- Fixed runtime dependencies check to work on distribution
v1.4.0
- Updated support for the MEF3 format
- Requires pymef 1.4.1 to fix memory leaks and C-API incompatibility
- MEF3 wrapper now makes direct calls to the C functions
- MEF3 wrapper allows for a password
- Epoch (& average) sub-routines
- Added tests to establish memory usage and read performance
- Adjusted flow of sub-routines according to test results
- Dependencies are checked at runtime
v1.3.0
- Implemented CAR using the common average of only the channels with low trial-variances
v1.2.0
- Allow omission of the channels argument (to retrieve all)
- The chunk reading size can now be specified
- Memmap reading is disabled by default
- Fixed deprecated numpy buildin types, so the latest version of Numpy can be used
- Fixed channel lookup for preloaded MEF3
v1.1.0
- Added functionality to load, preprocess and epoch data
v1.0.0
- Initial release