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@@ -0,0 +1 @@ +/biopeaks-1.4.4.tar.gz diff --git a/python-biopeaks.spec b/python-biopeaks.spec new file mode 100644 index 0000000..3a62bb7 --- /dev/null +++ b/python-biopeaks.spec @@ -0,0 +1,285 @@ +%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 +<img src="https://github.com/JanCBrammer/biopeaks/raw/master/docs/images/logo.png" alt="logo" style="width:600px;"/> + + +[](https://codecov.io/gh/JanCBrammer/biopeaks) +[](https://www.zenodo.org/badge/latestdoi/172897525) +[](https://pypi.org/project/biopeaks/) +[](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) + + + + + +# 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 +<img src="https://github.com/JanCBrammer/biopeaks/raw/master/docs/images/logo.png" alt="logo" style="width:600px;"/> + + +[](https://codecov.io/gh/JanCBrammer/biopeaks) +[](https://www.zenodo.org/badge/latestdoi/172897525) +[](https://pypi.org/project/biopeaks/) +[](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) + + + + + +# 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 +<img src="https://github.com/JanCBrammer/biopeaks/raw/master/docs/images/logo.png" alt="logo" style="width:600px;"/> + + +[](https://codecov.io/gh/JanCBrammer/biopeaks) +[](https://www.zenodo.org/badge/latestdoi/172897525) +[](https://pypi.org/project/biopeaks/) +[](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) + + + + + +# 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 <Python_Bot@openeuler.org> - 1.4.4-1 +- Package Spec generated @@ -0,0 +1 @@ +c424239a42d3c6673b582747712ec206 biopeaks-1.4.4.tar.gz |