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Update Version 0.3.2

  • IMPORTANT: fixes installation issues under Python3 using pip install (full support must yet be tested)
  • prepared mode-dependent returns for functions with plotting features

Update Version 0.3.1

  • fixes index out of range error in tools.segmentation() function
  • fixes BioSPPy import in hrv.py

Update Version 0.3

  • added ReadTheDocs documentation
  • added new frequency domain method (Autoregressive)
  • fixed missing histogram figure visualization under macOS
  • fixed 'pyhrv.tools.check_input()' function where input parameter was changed during the computation
  • updated docstrings and added documentation
  • added references
  • improved hrv() function
  • improved nonlinear() function

Update Version 0.2

  • changed toolbox name to 'pyhrv'
  • added install process using pip
  • added frequency domain parameters and method (Welch's method and Lomb-Scargle)
  • added frequency_domain() module level function
  • added frequency parameter computation in hrv() package level function
  • rearranged file structure in repository
  • added references.txt file
  • improved hrv_report() function
  • updated hrv_keys().json file
  • minor bug fixes
  • added 50 sample NNI series extracted from the MIT-BIH NSRDB database
  • updated sample HRV report and exports
  • fixed bug in pyhrv.tools.segmentation() function where NNI overlapping from one segment to the other got dropped

Update Version 0.1.2

  • added new time domain HRV parameters -> geometrical parameters

    • Triangular Index: hrv.time_domain.triangular_index()
    • TINN: hrv.time_domain.tinn()
    • Histogram (helper function powered by NumPy and Matplotlib): _hrv.time_domain._get_histogram()
    • Geometrical Parameters (calls tinn() and triangular_index() as those parameters are rarely used alone): hrv.time_domain.geometrical_parameters()

  • updated hrv.time_domain.time_domain() to also return the new geometrical parameters

  • added new nonlinear parameters -> sample entropy and detrended fluctuation analysis (DFA)

    • Sample Entropy: hrv.nonlinear_parameters.sample_entrop()
    • DFA: hrv.nonlinear_parameters.dfa()
    • Both functions powered by the nolds

  • updated hrv.nonlinear_parameters.nonlinear() to also return the new nonlinear parameters

  • added new tools function -> HRV Report

    • Entirely new HRV report generator: hrv.tools.hrv_report()
    • generates reports in .txt or .csv format

  • added_ check_fname() function to detect existing files for the generated HRV exports and HRV reports and automatically generate a new file name to avoid overwriting existing files (e.g. if 'Sample.txt' exists, it will 'increment' the new file name to 'Sample_1.txt' to avoid overwriting 'Sample.txt')

  • added 'SampleReport.txt' and 'SampleReport.csv' to the './hrv/files/'

  • updated 'SampleExport.json' in './hrv/files/'

  • fixed minor fixed in some tools functions

  • improved compatibility with Python 3

  • updated example sections in each module

Update Version 0.1.1

  • restructured entire repository
  • tested functionality and validated results for the time_domain, nonlinear_parameters, and tools modules
  • fixed example scripts at the end of each module
  • added new functions to the tools module: hrv_import(), hrv_export(), check_input()
  • fixed bugs in the tools.segmentation() function

Version Version 0.1

  • time domain functions
  • poincaré nonlinear functions
  • basic tools for HRV functions