Welcome to the wearablehrv documentation!
wearablehrv is a Python package that comes in handy if you want to validate wearables and establish their accuracy in terms of heart rate (HR) and heart rate variability (HRV). wearablehrv is a complete and comprehensive pipeline that helps you go from your recorded raw data through all the necessary pre-processing steps, data analysis, and many visualization tools with graphical user interfaces.
Questions
For any questions regarding the package, please contact:
aminsinichi@gmail.com
m.sinichi@vu.nl
Contents:
- Overview
- Group Pipeline
- Tutorial - Jupyter Notebook Examples
- API - Individual Pipeline
bar_plot()calculate_artefact()calculate_ibi()chop_data()data_analysis()define_events()display_changes()empatica_conversion()ibi_comparison_plot()import_backup()import_data()labfront_conversion()lag_correction()line_plot()pre_processing()radar_plot()result_comparison_plot()save_backup()save_data()unfolding_plot()visual_inspection()
- API - Group Pipeline
bar_plot()blandaltman_analysis()blandaltman_plot()bonferroni_correction_icc()bonferroni_correction_regression()box_plot()check_normality()density_plot()heatmap_plot()hist_plot()icc_analysis()icc_plot()import_data()log_transform_data()mape_analysis()mape_plot()matrix_plot()nan_handling()radar_plot()regression_analysis()regression_plot()save_data()signal_quality()signal_quality_plot1()signal_quality_plot2()violin_plot()