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

Supporting code for the GX Dataset

E4 TimeStamper helps researchers to automatically add timestamps to physiological data derived from Empatica's E4 wristbands.

Deep learning model for sepsis prediction using high-frequency data

Fever prediction model using high-frequency real-time sensor data

Web application for sepsis clinical assessment scores using batch ICU patient data

Custom client for the E4 wristband from Empatica

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

Physiological signals recorded with a Microsoft Band 2 are processed and modeled with a basic bayesian model to infer exaltation and relaxation states of mind

A specialized Flutter-based health-tech framework designed for real-time stress risk assessment. By integrating physiological data points like pulse rate and systolic blood pressure into a multi-tier classification algorithm, it provides immediate insight into user wellness. Developed as a flagship open-source project under the eOzka student initia

Integrating genomics and physiologic data (high-frequency) for sepsis detection

NeuroImaging-oriented Physiological Log Extraction for Modeling

Phymdos - the ONTOX Physiological maps documentation software

Early Fusion, Late Fusion, and Hybrid Fusion

Repository for Physiopy's community guidelines

Python implementation of RETROICOR - physiology regressors for fMRI preprocessing.

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

CNN models used in the paper "Biometric recognition using wearable devices in real-life settings" by Emanuela Piciucco, Elena Di Lascio, Emanuela Maiorana, Silvia Santini, Patrizio Campisi

Template repository for physiopy

A toolbox for physiological peak detection analyses. Formerly peakdet.