pypda 0.4.2

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

pyPDA

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 single beat waveform to word_dir

# plot 10 second pulse waveform of 65 bpm, sampled at 90 Hz to word_dir
pypda sample --bpm 65 --plot-dir work_dir --png --length 10 --sampling-rate 90

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 [e-mail]:taoyilee/pyPDA.git
pip install -r requirements_dev.txt
# Start coding.

Screen Capture

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.

0.2.1 (2020-03-02)

• Add sampler for test data (different parameters)