There are 0 repository under physiological-data topic.
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
Supporting code for the GX Dataset
Fever prediction model using high-frequency real-time sensor data
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
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.
An implementation of the WESAD processing and training pipeline in Python.
Phymdos - the ONTOX Physiological maps documentation software
Python implementation of RETROICOR - physiology regressors for fMRI preprocessing.
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
Experimentation with Wearables Data for Perioperative Medicine
Scripts for the extraction of statistical descriptors from bio signals of the X-ITE Pain Database (preprocessing included).
Config files for my GitHub profile.
:hammer: [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.
An environment for handling and analysing electrophysiological (Patch Clamp) measurements in R
Data of paper "ChallengeDetect: Investigating the Potential of Detecting In-Game Challenge Experience from Physiological Measures", CHI 2023.
Apache spark streaming analytic engine for predicting patient deterioration using physiological data