1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
240
241
242
243
244
245
246
247
248
249
250
251
252
253
254
255
256
257
258
259
260
261
262
263
264
265
266
267
268
269
270
271
272
273
274
275
276
277
278
279
280
281
282
283
284
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
|
