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

Supporting code for the GX Dataset

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

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

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

NeuroImaging-oriented Physiological Log Extraction for Modeling

Custom client for the E4 wristband from Empatica

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

Phymdos - the ONTOX Physiological maps documentation software

Investigating the privacy inherent to publicly available, anonymized datasets of wearable data (mainly time-series and daily/hourly physiological data, such as activity, EKG, etc.). Exploration of differentially privacy solutions.

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

R 📦 for physiology lab.

🔨 [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.

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

Python implementation of RETROICOR - physiology regressors for fMRI preprocessing.

Experimentation with Wearables Data for Perioperative Medicine

Config files for my GitHub profile.

Apache spark streaming analytic engine for predicting patient deterioration using physiological data