A PCG processing toolbox
Project description
pyPCG toolbox
Common processing algorithms and segmemtation for PCG signals
Installation
IMPORTANT!
pyPCG is dependent on a package hsmmlearn which is currently not available on PyPi.
To solve this issue, install hsmmlearn separately from https://github.com/jvkersch/hsmmlearn
pip install git+https://github.com/jvkersch/hsmmlearn@master
Note: Python 3.10 is supported but 3.11 is recommended
From PyPi
Install pyPCG using pip
pip install pyPCG_toolbox
From source
Clone the git repository
git clone https://github.com/mulkr/pyPCG-toolbox.git
Change directory to the cloned repository
cd pyPCG-tooblox
Install with pip
pip install .
Building the documentation
Install required packages
pip install -r docs/requirements.txt
Call Sphinx build command
sphinx-build -M html docs/source docs/build
On Windows you can also run the make.bat file
.\docs\make.bat html
The documentation should be available in the docs/build directory as html files
This includes the example codes as tutorials
Correspondence
Kristóf Müller (muller.kristof@itk.ppke.hu)
Márton Áron Goda (goda.marton.aron@itk.ppke.hu)
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