%global _empty_manifest_terminate_build 0 Name: python-biopeaks Version: 1.4.4 Release: 1 Summary: A graphical user interface for feature extraction from heart- and breathing biosignals. License: GPL-3.0 URL: https://github.com/JanCBrammer/biopeaks Source0: https://mirrors.aliyun.com/pypi/web/packages/db/54/e854c98e07ac469d8698cbf50f0682c52213a32b13516dc58171e35fa089/biopeaks-1.4.4.tar.gz BuildArch: noarch Requires: python3-scipy Requires: python3-numpy Requires: python3-pandas Requires: python3-matplotlib Requires: python3-PySide6 Requires: python3-pyinstaller %description logo ![GH Actions](https://github.com/JanCBrammer/biopeaks/workflows/test/badge.svg?branch=master) [![codecov](https://codecov.io/gh/JanCBrammer/biopeaks/branch/master/graph/badge.svg)](https://codecov.io/gh/JanCBrammer/biopeaks) [![DOI](https://www.zenodo.org/badge/172897525.svg)](https://www.zenodo.org/badge/latestdoi/172897525) [![PyPI version](https://img.shields.io/pypi/v/biopeaks.svg)](https://pypi.org/project/biopeaks/) [![JOSS](https://joss.theoj.org/papers/10.21105/joss.02621/status.svg)](https://doi.org/10.21105/joss.02621) # General Information `biopeaks` is a straightforward graphical user interface for feature extraction from electrocardiogram (ECG), photoplethysmogram (PPG) and breathing biosignals. It processes these biosignals semi-automatically with sensible defaults and offers the following functionality: + processes files in the open biosignal formats [EDF](https://en.wikipedia.org/wiki/European_Data_Format), [OpenSignals (Bitalino)](https://bitalino.com/en/software) as well as plain text files (.txt, .csv, .tsv) + interactive biosignal visualization + biosignal segmentation + benchmarked, automatic extrema detection (R-peaks in ECG, systolic peaks in PPG, exhalation troughs and inhalation peaks in breathing signals) with signal-specific, sensible defaults + automatic state-of-the-art [artifact correction](https://www.tandfonline.com/doi/full/10.1080/03091902.2019.1640306) for ECG and PPG extrema + manual editing of extrema + extraction of instantaneous features: (heart- or breathing-) rate and period, as well as breathing amplitude + .csv export of extrema and instantaneous features for further analysis (e.g., heart rate variability) + automatic analysis of multiple files (batch processing) ![GUI](https://github.com/JanCBrammer/biopeaks/raw/master/docs/images/screenshot_statistics.png) # Installation `biopeaks` can be installed from PyPI: ``` pip install biopeaks ``` Alternatively, on Windows, download [biopeaks.exe](https://github.com/JanCBrammer/biopeaks/releases/latest) and run it. Running the executable does not require a Python installation. You can find more details on the installation [here](https://jancbrammer.github.io/biopeaks/installation.html). # Documentation Have a look at the [user guide](https://jancbrammer.github.io/biopeaks/user_guide.html) to get started with `biopeaks`. # Contributors welcome! Improvements or additions to the repository (documentation, tests, code) are welcome and encouraged. Spotted a typo in the documentation? Caught a bug in the code? Ideas for improving the documentation, increase test coverage, or adding features to the GUI? Get started with the [contributor guide](https://jancbrammer.github.io/biopeaks/contributor_guide.html). # Citation Please refer to the [biopeaks paper](https://joss.theoj.org/papers/10.21105/joss.02621) in The Journal of Open Source Software. # Changelog Have a look at the [changelog](https://jancbrammer.github.io/biopeaks/changelog.html) to get an overview of what has changed throughout the versions of `biopeaks`. %package -n python3-biopeaks Summary: A graphical user interface for feature extraction from heart- and breathing biosignals. Provides: python-biopeaks BuildRequires: python3-devel BuildRequires: python3-setuptools BuildRequires: python3-pip %description -n python3-biopeaks logo ![GH Actions](https://github.com/JanCBrammer/biopeaks/workflows/test/badge.svg?branch=master) [![codecov](https://codecov.io/gh/JanCBrammer/biopeaks/branch/master/graph/badge.svg)](https://codecov.io/gh/JanCBrammer/biopeaks) [![DOI](https://www.zenodo.org/badge/172897525.svg)](https://www.zenodo.org/badge/latestdoi/172897525) [![PyPI version](https://img.shields.io/pypi/v/biopeaks.svg)](https://pypi.org/project/biopeaks/) [![JOSS](https://joss.theoj.org/papers/10.21105/joss.02621/status.svg)](https://doi.org/10.21105/joss.02621) # General Information `biopeaks` is a straightforward graphical user interface for feature extraction from electrocardiogram (ECG), photoplethysmogram (PPG) and breathing biosignals. It processes these biosignals semi-automatically with sensible defaults and offers the following functionality: + processes files in the open biosignal formats [EDF](https://en.wikipedia.org/wiki/European_Data_Format), [OpenSignals (Bitalino)](https://bitalino.com/en/software) as well as plain text files (.txt, .csv, .tsv) + interactive biosignal visualization + biosignal segmentation + benchmarked, automatic extrema detection (R-peaks in ECG, systolic peaks in PPG, exhalation troughs and inhalation peaks in breathing signals) with signal-specific, sensible defaults + automatic state-of-the-art [artifact correction](https://www.tandfonline.com/doi/full/10.1080/03091902.2019.1640306) for ECG and PPG extrema + manual editing of extrema + extraction of instantaneous features: (heart- or breathing-) rate and period, as well as breathing amplitude + .csv export of extrema and instantaneous features for further analysis (e.g., heart rate variability) + automatic analysis of multiple files (batch processing) ![GUI](https://github.com/JanCBrammer/biopeaks/raw/master/docs/images/screenshot_statistics.png) # Installation `biopeaks` can be installed from PyPI: ``` pip install biopeaks ``` Alternatively, on Windows, download [biopeaks.exe](https://github.com/JanCBrammer/biopeaks/releases/latest) and run it. Running the executable does not require a Python installation. You can find more details on the installation [here](https://jancbrammer.github.io/biopeaks/installation.html). # Documentation Have a look at the [user guide](https://jancbrammer.github.io/biopeaks/user_guide.html) to get started with `biopeaks`. # Contributors welcome! Improvements or additions to the repository (documentation, tests, code) are welcome and encouraged. Spotted a typo in the documentation? Caught a bug in the code? Ideas for improving the documentation, increase test coverage, or adding features to the GUI? Get started with the [contributor guide](https://jancbrammer.github.io/biopeaks/contributor_guide.html). # Citation Please refer to the [biopeaks paper](https://joss.theoj.org/papers/10.21105/joss.02621) in The Journal of Open Source Software. # Changelog Have a look at the [changelog](https://jancbrammer.github.io/biopeaks/changelog.html) to get an overview of what has changed throughout the versions of `biopeaks`. %package help Summary: Development documents and examples for biopeaks Provides: python3-biopeaks-doc %description help logo ![GH Actions](https://github.com/JanCBrammer/biopeaks/workflows/test/badge.svg?branch=master) [![codecov](https://codecov.io/gh/JanCBrammer/biopeaks/branch/master/graph/badge.svg)](https://codecov.io/gh/JanCBrammer/biopeaks) [![DOI](https://www.zenodo.org/badge/172897525.svg)](https://www.zenodo.org/badge/latestdoi/172897525) [![PyPI version](https://img.shields.io/pypi/v/biopeaks.svg)](https://pypi.org/project/biopeaks/) [![JOSS](https://joss.theoj.org/papers/10.21105/joss.02621/status.svg)](https://doi.org/10.21105/joss.02621) # General Information `biopeaks` is a straightforward graphical user interface for feature extraction from electrocardiogram (ECG), photoplethysmogram (PPG) and breathing biosignals. It processes these biosignals semi-automatically with sensible defaults and offers the following functionality: + processes files in the open biosignal formats [EDF](https://en.wikipedia.org/wiki/European_Data_Format), [OpenSignals (Bitalino)](https://bitalino.com/en/software) as well as plain text files (.txt, .csv, .tsv) + interactive biosignal visualization + biosignal segmentation + benchmarked, automatic extrema detection (R-peaks in ECG, systolic peaks in PPG, exhalation troughs and inhalation peaks in breathing signals) with signal-specific, sensible defaults + automatic state-of-the-art [artifact correction](https://www.tandfonline.com/doi/full/10.1080/03091902.2019.1640306) for ECG and PPG extrema + manual editing of extrema + extraction of instantaneous features: (heart- or breathing-) rate and period, as well as breathing amplitude + .csv export of extrema and instantaneous features for further analysis (e.g., heart rate variability) + automatic analysis of multiple files (batch processing) ![GUI](https://github.com/JanCBrammer/biopeaks/raw/master/docs/images/screenshot_statistics.png) # Installation `biopeaks` can be installed from PyPI: ``` pip install biopeaks ``` Alternatively, on Windows, download [biopeaks.exe](https://github.com/JanCBrammer/biopeaks/releases/latest) and run it. Running the executable does not require a Python installation. You can find more details on the installation [here](https://jancbrammer.github.io/biopeaks/installation.html). # Documentation Have a look at the [user guide](https://jancbrammer.github.io/biopeaks/user_guide.html) to get started with `biopeaks`. # Contributors welcome! Improvements or additions to the repository (documentation, tests, code) are welcome and encouraged. Spotted a typo in the documentation? Caught a bug in the code? Ideas for improving the documentation, increase test coverage, or adding features to the GUI? Get started with the [contributor guide](https://jancbrammer.github.io/biopeaks/contributor_guide.html). # Citation Please refer to the [biopeaks paper](https://joss.theoj.org/papers/10.21105/joss.02621) in The Journal of Open Source Software. # Changelog Have a look at the [changelog](https://jancbrammer.github.io/biopeaks/changelog.html) to get an overview of what has changed throughout the versions of `biopeaks`. %prep %autosetup -n biopeaks-1.4.4 %build %py3_build %install %py3_install install -d -m755 %{buildroot}/%{_pkgdocdir} if [ -d doc ]; then cp -arf doc %{buildroot}/%{_pkgdocdir}; fi if [ -d docs ]; then cp -arf docs %{buildroot}/%{_pkgdocdir}; fi if [ -d example ]; then cp -arf example %{buildroot}/%{_pkgdocdir}; fi if [ -d examples ]; then cp -arf examples %{buildroot}/%{_pkgdocdir}; fi pushd %{buildroot} if [ -d usr/lib ]; then find usr/lib -type f -printf "\"/%h/%f\"\n" >> filelist.lst fi if [ -d usr/lib64 ]; then find usr/lib64 -type f -printf "\"/%h/%f\"\n" >> filelist.lst fi if [ -d usr/bin ]; then find usr/bin -type f -printf "\"/%h/%f\"\n" >> filelist.lst fi if [ -d usr/sbin ]; then find usr/sbin -type f -printf "\"/%h/%f\"\n" >> filelist.lst fi touch doclist.lst if [ -d usr/share/man ]; then find usr/share/man -type f -printf "\"/%h/%f.gz\"\n" >> doclist.lst fi popd mv %{buildroot}/filelist.lst . mv %{buildroot}/doclist.lst . %files -n python3-biopeaks -f filelist.lst %dir %{python3_sitelib}/* %files help -f doclist.lst %{_docdir}/* %changelog * Tue Jun 20 2023 Python_Bot - 1.4.4-1 - Package Spec generated