OxWearables / asleep
asleep: a sleep classifier for wearable sensor data using machine learning
☆23Updated 7 months ago
Alternatives and similar repositories for asleep:
Users that are interested in asleep are comparing it to the libraries listed below
- Python Software Development Kit (SDK) to process wearable sensor data☆22Updated 2 months ago
- ☆63Updated last year
- Code for the technical report on the ActiLife counts algorithm.☆37Updated 2 weeks ago
- Python-based open source package for actigraphy data analysis☆141Updated 2 weeks ago
- Generating ActiGraph Counts from Raw Acceleration Recorded by an Alternative Monitor☆30Updated 5 years ago
- Python module for reading GT3X/AGDC file format data☆15Updated last month
- Extracting meaningful health information from large accelerometer datasets☆206Updated 3 months ago
- Python package for the processing and analysis of Inertial Measurement Unit Data☆69Updated 2 weeks ago
- Self-supervised learning for wearables using the UK-Biobank (>700,000 person-days)☆122Updated 5 months ago
- This code is part of the paper ''A Large Scale Benchmark to Validate Sleep-Wake Scoring Algorithms'' currently under review.☆21Updated 4 years ago
- Physical Activity Monitor Processing☆20Updated 3 years ago
- PhysioNet Cardiovascular Signal Toolbox☆127Updated last year
- The goal of this repository is to make novel methods for estimating physical activity or energy expenditure from accelerometer data easie…☆12Updated 2 years ago
- Sample data associated with the Aurora-BP study☆30Updated last month
- Classification of sleep stages using accelerometer data☆47Updated 2 years ago
- Deep learning-based prediction of sleep stages using wearable accelerometry and photoplethysmography☆30Updated 9 months ago
- The thigh-worn accelerometer data processing tool to find physical and sedentary behaviour☆12Updated last week
- Benchmark code for the paper: "Dreem Open Datasets: Multi-Scored Sleep Datasets to compare Human and Automated sleep staging"☆81Updated last year
- Supports epidemiological analyses using compositional exposure variables☆9Updated 2 years ago
- Sleep stage detection using ECG☆120Updated last week
- 🏋️ Extract generalizable physiological representations from sensor time-series data with self-supervision (code for CHIL 2021, NeurIPS-W…☆18Updated last year
- Code corresponding to R package GGIR☆112Updated this week
- Notebooks for Oxford CDT Wearables Data Challenge☆17Updated last month
- Improved Step Counting via Foundation Models for Wrist-Worn Accelerometers☆32Updated 3 months ago
- Large-Scale Pre-Training for Dual-Accelerometer Human Activity Recognition☆9Updated 3 months ago
- R package for extracting actigraphy counts from accelerometer data.☆10Updated 9 months ago
- Do not sleep on traditional machine learning for sleep stage scoring☆47Updated last year
- Are you ready to FLIRT with your wearable data?☆72Updated 11 months ago
- BioDG is a publically available framework for the evaluation of Domain Generalization algorithms in Biosignal Classification.☆18Updated 2 weeks ago
- ☆43Updated 3 years ago