https://github.com/simula/rest
https://github.com/simula/rest
Last synced: 17 days ago
JSON representation
- Host: GitHub
- URL: https://github.com/simula/rest
- Owner: simula
- License: mit
- Created: 2024-05-16T03:14:43.000Z (about 2 years ago)
- Default Branch: main
- Last Pushed: 2024-05-16T11:51:01.000Z (about 2 years ago)
- Last Synced: 2024-05-30T10:50:00.330Z (about 2 years ago)
- Language: Python
- Size: 28.3 KB
- Stars: 0
- Watchers: 4
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
README
# REST
# Elite Female Football Athletes Dataset and Analysis Tools
This repository contains various scripts and tools for analyzing a novel dataset of 21 elite female football athletes. The dataset comprises 17 days of actigraphy, well-being, caffeine consumption, screen time, and daily hand strength test data. The aim is to provide a comprehensive understanding of the interplay between lifestyle factors, sleep, and athletic performance.
## Repository Structure
- `algorithms`: The folder contains several sleep detection algorithms and non wear algorithms. Additional, it provides sleep statistic functions and a base class to load in the actigraphy files.
- `data_preprocessing`: Script for preprocessing and loading in of the original gt3x files. Addditional, a list of visualisations.
- `generate_reports.py`: Example script how to read in actigraphy files and generate sleep statistics, sleep annotations and plots.
- `technical_validation.py`: Script for performing technical validation of data or models. The script reproduces the figures and results of the paper.
- `annonymisation.py`: Script for anonymizing sensitive data. It applies techniques to remove or obfuscate personally which we used for the annonymisation of the data.
- `transfer_learning_inference.py`: Script for performing inference using transfer learning models. It applies a LSTM model which has been trained on the MESA sleep study to REST for sleep prediction.
## Installation
1. Clone the repository:
```bash
git clone https://github.com/simula/REST.git
cd REST
```
2. Create and activate a virtual environment:
```bash
conda env create -f environment.yml
```
## Usage