GiessenDataAnalysis
Code for basic analysis of the Giessen RV pulmonary pressure trace data.
Installation
Clone the repository:
git clone git@github.com:MaxBalmus/GiessenDataAnalysis.git
If no environment exists, create a new one:
python -m venv myenv
Then install the packege with pip:
pip install .
Getting started
Instatiate the analysis class using the target csv file path as input:
ag = analyseGiessen('data/file.csv')
Interogate the percentage of data that is covered by an error code:
ag.report_error_percentage()
Compute the 1st and 2nd derivatives of the pressure pulse:
ag.compute_derivatives()
Results can be found in ag.df DataFrame.
We can compute pulse values of interest (e.g. systolic, diastolic pressures):
ag.compute_point_of_interest()
with the results available in ag.points_df DataFrame.
2 maintainers
Metadata
2 maintainers
Release files for giessen-data-analysis 0.1.0
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Source distribution (sdist)
| File | Size | Uploaded | |
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| giessen_data_analysis-0.1.0.tar.gz | 12.2 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| giessen_data_analysis-0.1.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 23.7 kB
Release files / giessen_data_analysis-0.1.0.tar.gz
| Download URL | giessen_data_analysis-0.1.0.tar.gz |
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| Size | 12.2 kB |
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Release files / giessen_data_analysis-0.1.0-py3-none-any.whl
| Download URL | giessen_data_analysis-0.1.0-py3-none-any.whl |
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| Size | 11.6 kB |
| Tags | Python 3 |
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