An asynchronous BLE Heart Monitor library with support for additional data from Polar monitors (ECG, accelerometers, etc)

Deep learning model for sepsis prediction using high-frequency data

An implementation of the WESAD processing and training pipeline in Python.

Real time raw physiological signals using Microsoft Band 2 + Polar H9

NeuroImaging-oriented Physiological Log Extraction for Modeling

Early Fusion, Late Fusion, and Hybrid Fusion

Python implementation of RETROICOR - physiology regressors for fMRI preprocessing.

Repository for Physiopy's community guidelines

Scripts for the extraction of statistical descriptors from bio signals of the X-ITE Pain Database (preprocessing included).

Template repository for physiopy

A toolbox for physiological peak detection analyses. Formerly peakdet.

Automated detection and visualization of sleep breathing irregularities using physiological signals (airflow, thoracic, SpO₂) collected from multiple participants. Includes signal filtering, dataset creation, modeling, and sleep stage classification.