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Releases: MultimodalNeuroimagingLab/ieegprep

v1.6.1

09 Jan 07:42
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  • Require at least PyMef version 1.4.5 to ensure compatibility with ARM64 processors
  • Bump other dependencies (incl. to Numpy 2)
  • Require at least Python 3.9

v1.6.0

25 Sep 13:22
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  • 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

21 Aug 12:06
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  • 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

10 Aug 14:32
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  • Fixed runtime dependencies check to work on distribution

v1.4.0

10 Aug 13:16
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  • 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

15 Jun 17:30
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  • Implemented CAR using the common average of only the channels with low trial-variances

v1.2.0

19 Apr 19:53
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  • 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

11 Apr 19:21
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  • Added functionality to load, preprocess and epoch data

v1.0.0

07 Apr 23:04
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  • Initial release