Pinned Repositories
cgmquantify
Functions to calculate glucose summary metrics, glucose variability metrics (as defined in clinical publications), and visualizations to visualize trends in CGM data.
Data-Compression-Toolbox
The Wearables Data Compression Toolbox is designed to share data compression algorithms that have been evaluated on wearables data.
DBDP
Start here!
Digital_Health_Data_Repository
The DHDR (Digital Health Data Repository) is a repository with sample data for use with the DBDP.
Exploratory-Data-Analysis
Tools for exploratory data analysis of wearables and mHealth data.
Heart-Rate-Variability
Calculates time and frequency domain heart rate variability metrics (validated in Kubios) from RR interval (ECG) or IBI (PPG).
Human-Activity-Recognition
Multimodal human activity recognition using wrist-worn wearable sensors.
Pre-process
Pre-processing methods for mHealth and wearables data.
Resting-Heart-Rate
Estimation of resting heart rate.
Sleep
DigitalBiomarkerDiscoveryPipeline's Repositories
DigitalBiomarkerDiscoveryPipeline/Human-Activity-Recognition
Multimodal human activity recognition using wrist-worn wearable sensors.
DigitalBiomarkerDiscoveryPipeline/Digital_Health_Data_Repository
The DHDR (Digital Health Data Repository) is a repository with sample data for use with the DBDP.
DigitalBiomarkerDiscoveryPipeline/DBDP
Start here!
DigitalBiomarkerDiscoveryPipeline/Heart-Rate-Variability
Calculates time and frequency domain heart rate variability metrics (validated in Kubios) from RR interval (ECG) or IBI (PPG).
DigitalBiomarkerDiscoveryPipeline/Pre-process
Pre-processing methods for mHealth and wearables data.
DigitalBiomarkerDiscoveryPipeline/cgmquantify
Functions to calculate glucose summary metrics, glucose variability metrics (as defined in clinical publications), and visualizations to visualize trends in CGM data.
DigitalBiomarkerDiscoveryPipeline/Exploratory-Data-Analysis
Tools for exploratory data analysis of wearables and mHealth data.
DigitalBiomarkerDiscoveryPipeline/Data-Compression-Toolbox
The Wearables Data Compression Toolbox is designed to share data compression algorithms that have been evaluated on wearables data.
DigitalBiomarkerDiscoveryPipeline/Sleep
DigitalBiomarkerDiscoveryPipeline/Resting-Heart-Rate
Estimation of resting heart rate.
DigitalBiomarkerDiscoveryPipeline/nutritionSearchTool
nutrition search tool that uses food2vec
DigitalBiomarkerDiscoveryPipeline/CovIdentify
Functions to extract features from wearable data to track and predict infectious disease status.
DigitalBiomarkerDiscoveryPipeline/wearablecompute
wearablecompute is an open source Python package containing over 50 data and domain-driven features that can be computed from wearables and mHealth sensor data.
DigitalBiomarkerDiscoveryPipeline/Case_Studies
DBDP Case Studies
DigitalBiomarkerDiscoveryPipeline/dbdpy
DigitalBiomarkerDiscoveryPipeline/DigitalBiomarkerDiscoveryPipeline.github.io
Check out our website at dbdp.org! It is hosted here on GitHub pages.
DigitalBiomarkerDiscoveryPipeline/flirt
Are you ready to FLIRT with your wearable data?
DigitalBiomarkerDiscoveryPipeline/Model-Development
General methods for machine learning for digital biomarker discovery.
DigitalBiomarkerDiscoveryPipeline/systematic-digital-biomarker-literature-search
this contains a file which was used to filter authors from a pubmed search for a systematic review based on the location of the author (requiring 50% USA led) and that one author from the USA was an academic
DigitalBiomarkerDiscoveryPipeline/wearablevar
Wearable Variability Package for Python
DigitalBiomarkerDiscoveryPipeline/DBDP-GUI
An interactive GUI that allows users of any skill level to develop biomarkers off wearables data
DigitalBiomarkerDiscoveryPipeline/feature-engineering-and-extraction
DigitalBiomarkerDiscoveryPipeline/cgmquantify-R
Functions to calculate glucose summary metrics, glucose variability metrics (as defined in clinical publications), and visualizations to visualize trends in CGM data. (In R)
DigitalBiomarkerDiscoveryPipeline/DBDP-Ed
DigitalBiomarkerDiscoveryPipeline/DeepPostures
Deep Learning Methods for Identifying Human Postures from Hip-Worn Accelerometer Data
DigitalBiomarkerDiscoveryPipeline/devicely
Devicely: A Python package for reading, timeshifting and writing sensor data
DigitalBiomarkerDiscoveryPipeline/fasting
A Python package to interact with fasting logs from apps like Zero.