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A Pythonic toolkit to generate synthetic blood pressure waveforms based on principle of pulse decomposition analysis (PDA).

Project description

pyPDA

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A Pythonic toolkit to generate synthetic blood pressure waveforms based on principle of pulse decomposition analysis (PDA).

  • Free software: MIT license

Quick Start

Use

It is recommended that pyPDA should be setup in a Python virtual environment.

python -m venv venv
source venv/bin/activate
pip install pyPDA
pypda pulse --plot-dir work_dir --png # plot pulse waveform to word_dir
from pypda.pulse_model import PulseModelRaw

pulse_waveform = PulseModelRaw()
import matplotlib.pyplot as plt
plt.plot(pulse_waveform.pulse_waveform)

from pypda.wavelets import TriangGaussian
triangular_pulse = TriangGaussian()
triangular_pulse.shift(10) # optional horizontal shifting of waveform
plt.plot(triangular_pulse.pulse_waveform)

# addition operator is supported
superpositioned_pulse = pulse_waveform + triangular_pulse
plt.plot(superpositioned_pulse.pulse_waveform)

Development

Please feel free to fork a copy on GitHUB. Pull requests are very welcome. To report an issue, please use GitHub issue tracker.

python -m venv venv
source venv/bin/activate
git clone git@github.com:taoyilee/pyPDA.git
pip install -r requirements_dev.txt
# Start coding.

Screen Capture

Sample blood pressure waveform

References

  1. Baruch, Martin C., et al. “Pulse decomposition analysis of the digital arterial pulse during hemorrhage simulation.” Nonlinear biomedical physics 5.1 (2011): 1. [PDF]

History

0.1.0 (2020-02-19)

  • First release on PyPI.

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