Resurfemg

Latest version: v1.0.2

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0.0.7

Added

* Seventh version of this Python project, containing (added to this version):

- Function for looking at time to peak in a curve absolute and relative i.e. times_under_curve()
- Upgrade of CI to include a newer setup-conda action (v1.1.1)

0.0.6

Added

* Sixth version of this Python project, containing (added to this version):

- Reading function Poly5Reader in new tmsisdk_lite module which reads Poly5-files and can produce an array in the format our library uses
- Command line synthetic data creation, data pre-processing and machine learning (new module cli)
- New synthetic data function in config module
- New independent component analysis (ICA) functions which allow processing of any number of leads
- More functions for signal analysis including clinically relevant variations of area under curve and a function (distance_matrix) that produces various mathematical distances which can be used to compare EMG and other signals e.g. ventilator or EMG

0.0.5

Added

* Fifth version of this Python project, containing (added to this version):

- Converter functions added to converter_functions module to take other lab formats into an array in the format our library uses
- Preprocessing pipelines for any number of leads, which any subset can be chosen added to multi_lead_type module
- config module added so outside users can easily point towards thier own datasets, includes a new function to make synthetic EMG data, and hash file validation function (moved from converter_functions)
- In repository (technically not part of version): legacy dashboard files removed, notebooks guide added

0.0.4

Added

* Fourth version of this Python project, containing (added to this version):

- Gating function for ECG removal,
- Improve ICA for heart lead detection,
- Power spectrum function in helper_functions,
- Converter function for Biopac acquired data in converter_functions,
- High envelope function hi_envelope in helper_functions,
- Working pipeline improved (working_pipeline_pre_ml) in helper_functions,
- Slices_jump_slider function produces continous sequential slices over an
array of a certain legnth spaced out by a 'jump' in helper_functions.

0.0.0

Added

* First version of this Python project to follow the Netherlands eScience Center software development guide, containing (added to this version):

- Code style checking,
- Editorconfig,
- Code of Conduct,
- Contributing guidelines,
- Setup configuration,
- files for installation/building release (pypi, condabuild)

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