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
Custom client for the E4 wristband from Empatica
Web application for sepsis clinical assessment scores using batch ICU patient data
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
Integrating genomics and physiologic data (high-frequency) for sepsis detection
An implementation of the WESAD processing and training pipeline in Python.
NeuroImaging-oriented Physiological Log Extraction for Modeling
Phymdos - the ONTOX Physiological maps documentation software
Python implementation of RETROICOR - physiology regressors for fMRI preprocessing.
Early Fusion, Late Fusion, and Hybrid Fusion
Template repository for physiopy
Repository for Physiopy's community guidelines
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
A toolbox for physiological peak detection analyses. Formerly peakdet.
Scripts for the extraction of statistical descriptors from bio signals of the X-ITE Pain Database (preprocessing included).
🔨 [UNDER DEVELOPMENT] A broad intro into scientific and mathematical computations in Python for data analysis, with recipes and short tutorials. Specific interests in pathophsyiology, comp bio, expression analysis, ethnography, clinical data, and GIS (for disparities research). Curated by @milodubois.
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