PhysioZoo OBM documentation
Oximetry digital biomarkers for the analysis of continuous oximetry (SpO2) time series.
Based on the paper Jeremy Levy, Daniel ́Alvarez, Aviv A Rosenberg, Alexandra Alexandrovich, F ́elix Del Campo, and Joachim ABehar. Digital oximetry biomarkers for assessing respiratory function: standards of measurement, physiologicalinterpretation, and clinical use.NPJ digital medicine, 4(1):1–14, 2021
.. youtube:: 1m0nQ4MIOdE :width: 640 :height: 480
Description
Five types of biomarkers may be evaluated:
-
General statistics: time-based statistics describing the oxygen saturation time series data distribution.
-
Complexity: quantify the presence of long-range correlations in non-stationary time series.
-
Periodicity: quantify consecutive events creating some periodicity in the oxygen saturation time series.
-
Desaturations: time-based measures that are descriptive statistics of the desaturation patterns happening throughout the time series.
-
Hypoxic burden: time-based measures quantifying the overall degree of hypoxemia imposed to the heart and other organs during the recording period.
Installation
Available on pip, with the command: pip install pobm
pip project: https://pypi.org/project/pobm/
Requirements
numpy > 1.18.2
scikit-learn > 0.22.2
scipy > 1.4.1
lempel-ziv-complexity==0.2.2
All the requirements are installed when the toolbox is installed, no need for additional commands.
Documentation
Available at https://oximetry-toolbox.readthedocs.io/en/latest/
Metadata
Release files for pobm 1.2.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | Actions |
|---|---|---|---|---|
| pobm-1.2.0.tar.gz | 21.7 MB | Without provenance | Details for pobm-1.2.0.tar.gz |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| pobm-1.2.0-py2.py3-none-any.whl | Python 3, Python 2 | none | any | Details for pobm-1.2.0-py2.py3-none-any.whl |
Total release size: 21.8 MB
Release files / pobm-1.2.0.tar.gz
| Download URL | pobm-1.2.0.tar.gz |
|---|---|
| Size | 21.7 MB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
c1726c6fe5727b49032e7d2991d5217dbd258563a143de1bb96e39b98517e865
|
|
BLAKE2b-256 checksum How to use checksums |
390beca5372b7138d1411325f5aac0754d777535736ec1b9665ab0eec5c6f778
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.1 CPython/3.10.8
|
Release files / pobm-1.2.0-py2.py3-none-any.whl
| Download URL | pobm-1.2.0-py2.py3-none-any.whl |
|---|---|
| Size | 31.9 kB |
| Tags | Python 2 Python 3 |
|
SHA-256 checksum How to use checksums |
c78491da98d2c6c71c304a5e97ae02eeaf9c30df7d6f96acf95a6b087732b66d
|
|
BLAKE2b-256 checksum How to use checksums |
04e51826540ebc33458b566a46a58fd6a4c0e104ae227d5ce1f3c6fbf0e360bb
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.1 CPython/3.10.8
|
Security for pobm 1.2.0
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
No provenance found
None of the files in this release were uploaded with provenance metadata.
A note on package security
PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.
To learn more about protecting yourself from malicious actors, visit our package security documentation.