Gaitmap

Latest version: v2.5.1

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2.5.1

Fixed
The package updates in 2.5.0 broke some things. These are now fixed.

- For the parameter errors, the order of the output parameters has changed slightly, as they are now sorted to avoid
future breaking changes, based on changes in the sor policy in pandas
- The matches for the stride matching are now sorted to avoid future breaking changes, based on changes in the sor
policy in scipy sparse arrays
- The `PCAAlignment` is now more robust by enforcing a direction of the first principal component.
The method also has a new attribute `normalized_pca_components_` that hold the components after this adjustment.
This change might result in different results for the PCA step of the alignment.
However, in combination with the forward direction alignment, the results should be identical to the previous version.

2.5.0

Changed

Looser version constrains

Fixed

- Fixed a bug in the filtered rampp event detection. Replaced gyr_ml to gyr_ml_filtered so that we look for the gradient on the filtered signal.
(https://github.com/mad-lab-fau/gaitmap/pull/66)

2.4.0

Added

- All orientation and trajectory methods now have a new parameter `rotated_data_` that provides the input data rotated
to the world frame based on the calculated orientation.
(https://github.com/mad-lab-fau/gaitmap/pull/64)
- The Spatial Parameter Calculation now also calculates the "Range of Motion" (i.e. the angle change of the sensor in
the sagittal plane) (https://github.com/mad-lab-fau/gaitmap/pull/54)

Fixed

- Fixed a bug that when using `merge_interval` with empty input of shape (0, 2), the output was not empty.
(https://github.com/mad-lab-fau/gaitmap/pull/61)
- Fixed a bug that an error was raised when importing from the TrajectoryReconstruction module without gaitmap_mad
installed (https://github.com/mad-lab-fau/gaitmap/pull/63)

Changed

- Changed resampling function in inverse feature transform of HMM.
Resampling of state sequence is now also possible if the `target_sample_rate` is not a multiple of the HMM
sampling rate, e.g. `target_sample_rate=200`, `sample_rate=52.1` (https://github.com/mad-lab-fau/gaitmap/pull/62)
- Dropped Python 3.8 support! (https://github.com/mad-lab-fau/gaitmap/pull/64)

2.3.0

Changed

- Example data is now automatically downloaded if it is not already present.
(https://github.com/mad-lab-fau/gaitmap/pull/49)

2.2.3

Fixed

- Spatial parameter calculation now works when no strides are detected for a sensor.
(https://github.com/mad-lab-fau/gaitmap/pull/48)

2.2.2

Fixed

- Fixed bug in HMM when uneven sequnece length were provided. In newer numpy versions this requires an explicit cast to
an object array.

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