Metadata-Version: 2.4
Name: pyPSG-toolbox
Version: 1.0.0
Summary: Python toolbox for PPG, ECG, SPO2 and HRV analysis
Home-page: https://github.com/pszabolcsm/pyPSG
Author: Szabolcs M. Péter, Marton A. Goda, PhD
Author-email: peter.szabolcs.matyas@hallgato.ppke.hu
Maintainer-email: "Szabolcs M. Péter" <peter.szabolcs.matyas@hallgato.ppke.hu>
License-Expression: GPL-3.0-only
Project-URL: Homepage, https://github.com/pszabolcsm/pyPSG
Project-URL: Documentation, https://pypsg-github.readthedocs.io/en/latest/
Project-URL: Repository, https://github.com/pszabolcsm/pyPSG.git
Project-URL: Issues, http://https://github.com/pszabolcsm/pyPSG/issues
Classifier: Development Status :: 4 - Beta
Classifier: Programming Language :: Python :: 3.10
Classifier: Operating System :: OS Independent
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# *pyPSG* toolbox documentation


## Introduction

Dedicated toolboxes have been developed for the analysis of individual physiological signals.
However, for the purpose of fast and efficient data analysis, there was a need to unify these separate modules.
To address this gap, pyPSG was developed — a Python-based toolbox capable of handling and analyzing various types of physiological signals within a single environment.
The toolbox standardizes the signal processing workflow across data from different sources and also enables the preprocessing of physiological signals for machine learning applications.
During development, modularity was a key consideration to allow future expansion with additional biological signals.



## Description
Input data, raw signals are first unified in the EDF (European Data Format) structure. 
The pipeline processes three parallel signal branches: PPG, ECG, and SpO$_2$. 
Each signal undergoes preprocessing using its corresponding module (pyPPG, pecg, or pobm). 
In the case of PPG and ECG, fiducial points are detected to derive beat-to-beat intervals, which are then forwarded to the mhrv module for HRV/BRV analysis. 
Biomarkers are extracted separately from all three signal types, and the results are aggregated and saved for further data analysis.

![](docs/figs/pipeline.png)

## Installation

## Requirements

## Documentation
