OxWearables / biobankAccelerometerAnalysisLinks
Extracting meaningful health information from large accelerometer datasets
☆238Updated 2 months ago
Alternatives and similar repositories for biobankAccelerometerAnalysis
Users that are interested in biobankAccelerometerAnalysis are comparing it to the libraries listed below
Sorting:
- Python-based open source package for actigraphy data analysis☆157Updated 10 months ago
- ☆67Updated 2 years ago
- Python Software Development Kit (SDK) to process wearable sensor data☆26Updated 4 months ago
- Code corresponding to R package GGIR☆133Updated this week
- Agenda and Notes for Webinar Series for OSS developers in physical behavior research field☆13Updated 3 years ago
- The DHDR (Digital Health Data Repository) is a repository with sample data for use with the DBDP.☆51Updated 9 months ago
- Code repository for the critical data book☆76Updated 6 years ago
- Improved Step Counting via Foundation Models for Wrist-Worn Accelerometers☆50Updated 3 weeks ago
- circEWS public code☆76Updated last year
- Python package for the processing and analysis of Inertial Measurement Unit Data☆90Updated last week
- Python module for reading GT3X/AGDC file format data☆17Updated 9 months ago
- 🏥 ICU data with R 🏥☆55Updated 5 months ago
- Self-supervised learning for wearables using the UK-Biobank (>700,000 person-days)☆144Updated last year
- Resource library for getting started with deep learning work using electrocardiograms☆140Updated last week
- A system for automating the design of predictive modeling pipelines tailored for clinical prognosis.☆172Updated 10 months ago
- Physical Activity Monitor Processing☆20Updated 4 years ago
- ☆167Updated this week
- The goal of this repository is to make novel methods for estimating physical activity or energy expenditure from accelerometer data easie…☆12Updated 3 years ago
- asleep: a sleep classifier for wearable sensor data using machine learning☆46Updated 5 months ago
- pyPPG v01☆62Updated 9 months ago
- Create "Table 1" for research papers in Python☆187Updated 9 months ago
- Forest is a library for analyzing smartphone-based high-throughput digital phenotyping data☆37Updated 3 months ago
- An abductive framework for the interpretation of time series, with special application to ECG data.☆61Updated 3 years ago
- This is a complete preprocessing, model training, and figure generation repo for "An attention based deep learning model of clinical even…☆77Updated last year
- TemporAI: ML-centric Toolkit for Medical Time Series☆128Updated 2 years ago
- Study on mechanical power in MIMIC-III and eICU-CRD☆37Updated 6 years ago
- ☆23Updated 5 years ago
- Classification of sleep stages using accelerometer data☆55Updated 3 years ago
- PhysioNet Cardiovascular Signal Toolbox☆129Updated 2 years ago
- SurvSHAP(t): Time-dependent explanations of machine learning survival models☆95Updated 2 years ago