deepdelineator
The deepdelineator library can be used to detect characteristic points in arterial blood pressure waveforms using deep learning techniques to improve the accuracy of the detection. At the same time, regions with noise can be identified automatically.
Installation
pip install deepdelineator
Usage
from deepdelineator.utils import load_delineator
delineator = load_delineator()
s_f = 500 # Sampling frecuency of the signals, adjust to your data
# Detection!
detections = model.pred_from_numpy(signal_list=list_of_abp_signals,s_f=s_f)
For more details, please refer to the examples folder.
Citing
If you consider this work useful, please cite the following paper:
A Delineator for Arterial Blood Pressure Waveform Analysis Based on a Deep Learning Technique
@INPROCEEDINGS{9630717,
author={Aguirre, Nicolas and Grall-Maës, Edith and Cymberknop, Leandro J. and Armentano, Ricardo L.},
booktitle={2021 43rd Annual International Conference of the IEEE Engineering in Medicine Biology Society (EMBC)},
title={A Delineator for Arterial Blood Pressure Waveform Analysis Based on a Deep Learning Technique},
year={2021},
volume={},
number={},
pages={56-59},
doi={10.1109/EMBC46164.2021.9630717}}
Metadata
Release files for deepdelineator 0.1.1
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| File | Size | Uploaded | Provenance | Actions |
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Built distribution (wheel)
| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| deepdelineator-0.1.1-py3-none-any.whl | Python 3 | none | any | Details for deepdelineator-0.1.1-py3-none-any.whl |
Total release size: 6.4 MB
Release files / deepdelineator-0.1.1.tar.gz
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Release files / deepdelineator-0.1.1-py3-none-any.whl
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