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v0.4.0 - All the algorithms implemented
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@AKuederle AKuederle released this 17 Jun 13:55
· 325 commits to main since this release
v0.4.0
3b69f48

[0.4.0] - 2024-06-17

Added

  • Example on how to create custom datasets (#155, #145)
  • Pipelines to run the P1 and P2 Mobilise-D pipelines (#145)
  • A "naive" walking speed calculation method that just multiplies the cadence with the step length.
    (#148)
  • The Zjilstra Stride/Step length algorithm (#142)
  • A new GSD algorithm called GsdIonescu (#143)
  • A new GSD algorithm called GsdAdaptiveIonescu (#53)
  • The ElGohary Turing Detection algorithm (#131)
  • The iter_gs method now has a new argument id_col_name to specify the column of the gs_list that should be
    used to infer the id of the returned regions.
    Even without the argument, the method will try to infer the id column.
    This allows the use with other region lists besides gs/wb lists.
    (#135)
  • The GsIterator now has a way to iterate sub-regions using iter_subregions, the subregion context manager
    and the with_subregion method.
    This allows for nested iteration over regions and is the basis of our support for "refined GaitSequence".
    (#135)
  • A refine_gs method that returns a new gait sequence that starts from the first IC and ends at the last IC.
    This can be used with the new subregion iteration to iterate over the subregions of a gait sequence.
    (#135)
  • The MobiliseDAggregator can now take None as grouping parameter, which results in all WBs being aggregated together.
    (#141)
  • The Multi-Df groupby now has a way to pass parameters to the underlying .groupby call.
    (#141)
  • A method to generate a stride list from initial contacts (strides_list_from_ic_lr_list).
    (#141)
  • A method to interpolate per-sec values to regions (usually strides) (naive_sec_paras_to_regions).
    (#141)
  • All the loader functions for the matlab format now have the option to skip a test, if either data or reference data
    is not available (#125)
  • Matlab-loader dataclasses now have the option to use a pre-computed index instead of deriving the test list by
    loading the Matlab file itself.
    This should help reducing the initial index creation time for large datasets.
    (#125)
  • A loader for the Mobilise-D TVS dataset, which will be published end on June.
    (#125)
  • General methods to calculate and aggregate error metrics for final WB-level parameters.
    (#126)

Changed

  • Renamed algorithm folders to easier to understand names(gsd -> gait_sequences, icd -> initial_contacts, lrc -> laterality)
    (#156)
  • Many algorithms are now more robust to short data and correctly return empty results if the data is too short instead
    of erroring out.
    (#145)
  • The Gait Sequence iterator does not allow for dynamic attribute access anymore.
    Only the use of the results_ object is allowed.
    (#135)
  • Aggregations for Typed iterators/Gait Sequence iterators only take a single argument now.
    This is a list of return type tuples that contain ALL results (before the agg funcs only got the values for one of
    the result attributes) and the input, but also additional context information that can be extended by the iterator
    object.
    (#135)
  • Reference WB ids now start at 0 again instead of 1.
  • Reference parameters like turns and initial contacts that exist per WB are now numbered per WB.
  • The MobilseDAggregator now uses new more expressive names by default.
    (#141)
  • The expected Cadence output now has a new column name cadence_spm instead of cad_spm.
    (#141)
  • The result attribute for Cadence in all Cadence algorithms and the GSIteration is now called
    cadence_per_sec instead of cad_per_sec.
    (#141)
  • The Mobilise-D datasets metadata attribute is renamed to recording_metadata and is now a dictionary instead of a
    named tuple.
    It also contains more information about the recording.
    (#141)
  • All file/directory based versions of the Mobilise-D datasets now require a measurement_condition argument.
    (#141)
  • All datasets now have a participant_metadata attribute that contains information about the participant.
    (#141)
  • The Cadence method does now include "incomplete" seconds.
    This means the "partial" last second of a recording is now included in the output.
    This ensures that all strides are covered by the output.
    (#141)
  • The MobiliseDAggregator does not round the output anymore and further does not convert stride length values to "cm"
    anymore.
    If this is desired, the user has to do this manually.
    (#145)

Fixed

  • The check that we assume a gs to start and end with an IC was not correctly performed for the end IC and a warning
    was raised incorrectly. This is now fixed.
    (#135)
  • The GsIterator does not throw an error anymore, if the GS list was empty.
    (#135)
  • The reference parameters for turns loaded from Matlab files now have the correct units.
  • GSDIonescu was incorrectly handling the end sample of the GS. This could lead to GS that end outside the data.
    (#145)

Removed

  • When data is loaded, the error/warning that none of the sensors where available is removed
    (#125)
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