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|
%global _empty_manifest_terminate_build 0
Name: python-sleepecg
Version: 0.5.5
Release: 1
Summary: A package for sleep stage classification using ECG data
License: BSD 3-Clause
URL: https://pypi.org/project/sleepecg/
Source0: https://mirrors.aliyun.com/pypi/web/packages/d7/45/3bdb7126284dcf23fd39a9a1623f0fc4398b0ea293bea418ac47ca269746/sleepecg-0.5.5.tar.gz
Requires: python3-numpy
Requires: python3-PyYAML
Requires: python3-requests
Requires: python3-scipy
Requires: python3-tqdm
Requires: python3-mne
Requires: python3-numba
Requires: python3-pyEDFlib
Requires: python3-wfdb
Requires: python3-black
Requires: python3-joblib
Requires: python3-matplotlib
Requires: python3-mkdocs-material
Requires: python3-mkdocstrings-python
Requires: python3-mne
Requires: python3-mypy
Requires: python3-numba
Requires: python3-pre-commit
Requires: python3-pyEDFlib
Requires: python3-pytest
Requires: python3-ruff
Requires: python3-setuptools
Requires: python3-sphinx
Requires: python3-tensorflow
Requires: python3-wfdb
Requires: python3-mkdocs-material
Requires: python3-mkdocstrings-python
Requires: python3-joblib
Requires: python3-matplotlib
Requires: python3-mne
Requires: python3-numba
Requires: python3-tensorflow
Requires: python3-wfdb
%description
[](https://pypi.org/project/sleepecg/)
[](https://anaconda.org/conda-forge/sleepecg)
[](https://sleepecg.readthedocs.io/en/stable/index.html)
[](LICENSE)
## SleepECG
SleepECG provides tools for sleep stage classification when [EEG](https://en.wikipedia.org/wiki/Electroencephalography) signals are not available. Based only on [ECG](https://en.wikipedia.org/wiki/Electrocardiography), SleepECG provides functions for
- downloading and reading open polysomnography datasets,
- detecting heartbeats from ECG signals, and
- classifying sleep stages (which includes preprocessing, feature extraction, and classification).
### Documentation
Documentation for SleepECG is available on [Read the Docs](https://sleepecg.readthedocs.io/en/stable/index.html).
### Changelog
Check out the [changelog](https://github.com/cbrnr/sleepecg/blob/main/CHANGELOG.md) to learn what we added, changed, or fixed.
### Dependencies
SleepECG requires Python ≥ 3.8 and the following packages:
- [numpy](http://www.numpy.org/) ≥ 1.20.0
- [requests](https://requests.readthedocs.io/en/latest/) ≥ 2.25.0
- [scipy](https://scipy.org/) ≥ 1.7.0
- [tqdm](https://tqdm.github.io/) ≥ 4.60.0
- [PyYAML](https://pyyaml.org/) ≥ 5.4.0
Optional dependencies provide additional features:
- [joblib](https://joblib.readthedocs.io/en/latest/) ≥ 1.0.0 (parallelized feature extraction)
- [matplotlib](https://matplotlib.org/) ≥ 3.5.0 (plot ECG time courses, hypnograms, and confusion matrices)
- [mne](https://mne.tools/stable/index.html) ≥ 1.0.0 (read data from [MESA](https://sleepdata.org/datasets/mesa) and [SHHS](https://sleepdata.org/datasets/shhs))
- [numba](https://numba.pydata.org/) ≥ 0.55.0 (JIT-compiled heartbeat detector)
- [tensorflow](https://www.tensorflow.org/) ≥ 2.7.0 (sleep stage classification with Keras models)
- [wfdb](https://github.com/MIT-LCP/wfdb-python/) ≥ 3.4.0 (read data from [SLPDB](https://physionet.org/content/slpdb), [MITDB](https://physionet.org/content/mitdb), and [LTDB](https://physionet.org/content/ltdb))
### Installation
SleepECG is available on PyPI and can be installed with [pip](https://pip.pypa.io/en/stable/):
```
pip install sleepecg
```
Alternatively, an unofficial [conda](https://docs.conda.io/en/latest/) package is available:
```
conda install -c conda-forge sleepecg
```
SleepECG with all optional dependencies can be installed with the following command:
```
pip install "sleepecg[full]"
```
If you want the latest development version, use the following command:
```
pip install git+https://github.com/cbrnr/sleepecg
```
### Example
The following example detects heartbeats in a short ECG (a one-dimensional NumPy array):
```python
import numpy as np
from scipy.misc import electrocardiogram
from sleepecg import detect_heartbeats
ecg = electrocardiogram() # 5 min of ECG data at 360 Hz
fs = 360 # sampling frequency
beats = detect_heartbeats(ecg, fs) # indices of detected heartbeats
```
More examples are available at https://github.com/cbrnr/sleepecg/tree/main/examples.
### Contributing
The [contributing guide](https://github.com/cbrnr/sleepecg/blob/main/CONTRIBUTING.md) contains detailed instructions on how to contribute to SleepECG.
%package -n python3-sleepecg
Summary: A package for sleep stage classification using ECG data
Provides: python-sleepecg
BuildRequires: python3-devel
BuildRequires: python3-setuptools
BuildRequires: python3-pip
BuildRequires: python3-cffi
BuildRequires: gcc
BuildRequires: gdb
%description -n python3-sleepecg
[](https://pypi.org/project/sleepecg/)
[](https://anaconda.org/conda-forge/sleepecg)
[](https://sleepecg.readthedocs.io/en/stable/index.html)
[](LICENSE)
## SleepECG
SleepECG provides tools for sleep stage classification when [EEG](https://en.wikipedia.org/wiki/Electroencephalography) signals are not available. Based only on [ECG](https://en.wikipedia.org/wiki/Electrocardiography), SleepECG provides functions for
- downloading and reading open polysomnography datasets,
- detecting heartbeats from ECG signals, and
- classifying sleep stages (which includes preprocessing, feature extraction, and classification).
### Documentation
Documentation for SleepECG is available on [Read the Docs](https://sleepecg.readthedocs.io/en/stable/index.html).
### Changelog
Check out the [changelog](https://github.com/cbrnr/sleepecg/blob/main/CHANGELOG.md) to learn what we added, changed, or fixed.
### Dependencies
SleepECG requires Python ≥ 3.8 and the following packages:
- [numpy](http://www.numpy.org/) ≥ 1.20.0
- [requests](https://requests.readthedocs.io/en/latest/) ≥ 2.25.0
- [scipy](https://scipy.org/) ≥ 1.7.0
- [tqdm](https://tqdm.github.io/) ≥ 4.60.0
- [PyYAML](https://pyyaml.org/) ≥ 5.4.0
Optional dependencies provide additional features:
- [joblib](https://joblib.readthedocs.io/en/latest/) ≥ 1.0.0 (parallelized feature extraction)
- [matplotlib](https://matplotlib.org/) ≥ 3.5.0 (plot ECG time courses, hypnograms, and confusion matrices)
- [mne](https://mne.tools/stable/index.html) ≥ 1.0.0 (read data from [MESA](https://sleepdata.org/datasets/mesa) and [SHHS](https://sleepdata.org/datasets/shhs))
- [numba](https://numba.pydata.org/) ≥ 0.55.0 (JIT-compiled heartbeat detector)
- [tensorflow](https://www.tensorflow.org/) ≥ 2.7.0 (sleep stage classification with Keras models)
- [wfdb](https://github.com/MIT-LCP/wfdb-python/) ≥ 3.4.0 (read data from [SLPDB](https://physionet.org/content/slpdb), [MITDB](https://physionet.org/content/mitdb), and [LTDB](https://physionet.org/content/ltdb))
### Installation
SleepECG is available on PyPI and can be installed with [pip](https://pip.pypa.io/en/stable/):
```
pip install sleepecg
```
Alternatively, an unofficial [conda](https://docs.conda.io/en/latest/) package is available:
```
conda install -c conda-forge sleepecg
```
SleepECG with all optional dependencies can be installed with the following command:
```
pip install "sleepecg[full]"
```
If you want the latest development version, use the following command:
```
pip install git+https://github.com/cbrnr/sleepecg
```
### Example
The following example detects heartbeats in a short ECG (a one-dimensional NumPy array):
```python
import numpy as np
from scipy.misc import electrocardiogram
from sleepecg import detect_heartbeats
ecg = electrocardiogram() # 5 min of ECG data at 360 Hz
fs = 360 # sampling frequency
beats = detect_heartbeats(ecg, fs) # indices of detected heartbeats
```
More examples are available at https://github.com/cbrnr/sleepecg/tree/main/examples.
### Contributing
The [contributing guide](https://github.com/cbrnr/sleepecg/blob/main/CONTRIBUTING.md) contains detailed instructions on how to contribute to SleepECG.
%package help
Summary: Development documents and examples for sleepecg
Provides: python3-sleepecg-doc
%description help
[](https://pypi.org/project/sleepecg/)
[](https://anaconda.org/conda-forge/sleepecg)
[](https://sleepecg.readthedocs.io/en/stable/index.html)
[](LICENSE)
## SleepECG
SleepECG provides tools for sleep stage classification when [EEG](https://en.wikipedia.org/wiki/Electroencephalography) signals are not available. Based only on [ECG](https://en.wikipedia.org/wiki/Electrocardiography), SleepECG provides functions for
- downloading and reading open polysomnography datasets,
- detecting heartbeats from ECG signals, and
- classifying sleep stages (which includes preprocessing, feature extraction, and classification).
### Documentation
Documentation for SleepECG is available on [Read the Docs](https://sleepecg.readthedocs.io/en/stable/index.html).
### Changelog
Check out the [changelog](https://github.com/cbrnr/sleepecg/blob/main/CHANGELOG.md) to learn what we added, changed, or fixed.
### Dependencies
SleepECG requires Python ≥ 3.8 and the following packages:
- [numpy](http://www.numpy.org/) ≥ 1.20.0
- [requests](https://requests.readthedocs.io/en/latest/) ≥ 2.25.0
- [scipy](https://scipy.org/) ≥ 1.7.0
- [tqdm](https://tqdm.github.io/) ≥ 4.60.0
- [PyYAML](https://pyyaml.org/) ≥ 5.4.0
Optional dependencies provide additional features:
- [joblib](https://joblib.readthedocs.io/en/latest/) ≥ 1.0.0 (parallelized feature extraction)
- [matplotlib](https://matplotlib.org/) ≥ 3.5.0 (plot ECG time courses, hypnograms, and confusion matrices)
- [mne](https://mne.tools/stable/index.html) ≥ 1.0.0 (read data from [MESA](https://sleepdata.org/datasets/mesa) and [SHHS](https://sleepdata.org/datasets/shhs))
- [numba](https://numba.pydata.org/) ≥ 0.55.0 (JIT-compiled heartbeat detector)
- [tensorflow](https://www.tensorflow.org/) ≥ 2.7.0 (sleep stage classification with Keras models)
- [wfdb](https://github.com/MIT-LCP/wfdb-python/) ≥ 3.4.0 (read data from [SLPDB](https://physionet.org/content/slpdb), [MITDB](https://physionet.org/content/mitdb), and [LTDB](https://physionet.org/content/ltdb))
### Installation
SleepECG is available on PyPI and can be installed with [pip](https://pip.pypa.io/en/stable/):
```
pip install sleepecg
```
Alternatively, an unofficial [conda](https://docs.conda.io/en/latest/) package is available:
```
conda install -c conda-forge sleepecg
```
SleepECG with all optional dependencies can be installed with the following command:
```
pip install "sleepecg[full]"
```
If you want the latest development version, use the following command:
```
pip install git+https://github.com/cbrnr/sleepecg
```
### Example
The following example detects heartbeats in a short ECG (a one-dimensional NumPy array):
```python
import numpy as np
from scipy.misc import electrocardiogram
from sleepecg import detect_heartbeats
ecg = electrocardiogram() # 5 min of ECG data at 360 Hz
fs = 360 # sampling frequency
beats = detect_heartbeats(ecg, fs) # indices of detected heartbeats
```
More examples are available at https://github.com/cbrnr/sleepecg/tree/main/examples.
### Contributing
The [contributing guide](https://github.com/cbrnr/sleepecg/blob/main/CONTRIBUTING.md) contains detailed instructions on how to contribute to SleepECG.
%prep
%autosetup -n sleepecg-0.5.5
%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-sleepecg -f filelist.lst
%dir %{python3_sitearch}/*
%files help -f doclist.lst
%{_docdir}/*
%changelog
* Thu Jun 08 2023 Python_Bot <Python_Bot@openeuler.org> - 0.5.5-1
- Package Spec generated
|
