OxWearables/ukb_download_and_prep_template

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Created over 4 years ago
Updated almost 2 years ago

OxWearables/ukb_download_and_prep_template

OxWearables

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This repository facilitates common data pre-processing steps when working with UK Biobank data.

biobankAccelerometerAnalysis

Extracting meaningful health information from large accelerometer datasets

ssl-wearables

Self-supervised learning for wearables using the UK-Biobank (>700,000 person-days)

Jupyter Notebook

actipy

Python Software Development Kit (SDK) to process Axivity, GENEActiv, and Actigraph files

Oxford_Wearables_Activity_Recognition

Notebooks for Oxford CDT Wearables Data Challenge

Jupyter Notebook

asleep

asleep: a sleep classifier for wearable sensor data using machine learning

stepcount

A step-counting model based on self-supervised learning for wrist-worn accelerometer data.

Jupyter Notebook

capture24

Capture24: Human activity recognition with activity trackers

Jupyter Notebook

rap_wearables

A demo/example pipeline for analysing wearables data using the RAP.

Jupyter Notebook

epicoda

Supports epidemiological analyses using compositional exposure variables

oxford-wearable-camera-browser

Browse and annotate wearable camera images in health studies

UKB_steps_mortality

This repository holds the statistical analysis code for the association of steps and mortality in the UK Biobank

Jupyter Notebook

RMLHDS

Jupyter Notebook

capture24_neurips

Capture24: Activity recognition on a large activity tracker dataset collected in the wild

Jupyter Notebook

wearable-camera-desktop-browser

Analysing wearable camera on a standalone PC

wearable-teaching

Jupyter Notebook

pyfew

A simple and light-weight feature extractor for wearable accelerometer data.

actinet

An activity classification model based on self-supervised learning for wrist-worn accelerometer data.

manuscript_ml_behaviours_cvd_2021

pd_walking

Detect walking in the PD population