semvec/pypi-packages huggingface dataset:
RecruitmentCurveFitting 1.2.7
A package for fitting sigmoid and bell-shaped functions to EMG recruitment-curve measurements
License: CC0
Requires Python: !=3.0.*,!=3.1.*,!=3.2.*,<4,>=2.7

This package provides classes `Sigmoid` and `HillCurve` for fitting, plotting and
interpolating EMG recruitment curves. These might be suitable for the M-wave and H-reflex
components, respectively, of the EMG responses to electrical peripheral nerve stimulation.
Feed in a sequence of stimulation intensities and corresponding sequence of response
magnitudes. These can be used from the command-line, outside of python.

The package also provides a higher-level class `RecruitmentCurve` which takes in EMG
waveforms, together with information on the start and end times of the response components
of interest, and performs either or both of the above fits, optionally rendering the results
on an interactive plot.

To get started::

    python -m pip install RecruitmentCurveFitting
    python -m RecruitmentCurveFitting --unpack-examples
    python -m RecruitmentCurveFitting example-data1.txt example-data2.txt --plot
    python -m RecruitmentCurveFitting --help
    python -m RecruitmentCurveFitting --help-module
    


If you use this software in your research, your report should cite the article
in which this approach was introduced, as follows:

- McKinnon ML, Hill NJ, Carp JS, Dellenbach B & Thompson AK (2023).
  Methods for automated delineation and assessment of EMG responses evoked by
  peripheral nerve stimulation in diagnostic and closed-loop therapeutic
  applications.  Journal of Neural Engineering 20(4):046012.
  https://doi.org/10.1088/1741-2552/ace6fb

The corresponding BibTeX entry is::

    @article{mckinnonhill2023,
      author  = {McKinnon, Michael L. and Hill, N. Jeremy and Carp, Jonathan S.
                 and Dellenbach, Blair and Thompson, Aiko K.},
      title   = {Methods for Automated Delineation and Assessment of {EMG}
                 Responses Evoked by Peripheral Nerve Stimulation in Diagnostic
                 and Closed-Loop Therapeutic Applications},
      journal = {Journal of Neural Engineering},
      year    = {2023},
      month   = {July},
      date    = {2023-07-21},
      volume  = {20},
      number  = {4},
      pages   = {046012},
      doi     = {10.1088/1741-2552/ace6fb},
      url     = {https://doi.org/10.1088/1741-2552/ace6fb},
    }


Development was supported by the NIH, NYS SCIRB, Veterans Affairs RRD,
and the Stratton VA Medical Center.