{"id":50938096,"url":"https://github.com/simula/rest","last_synced_at":"2026-06-17T11:03:45.089Z","repository":{"id":241853242,"uuid":"801334728","full_name":"simula/REST","owner":"simula","description":null,"archived":false,"fork":false,"pushed_at":"2024-05-16T11:51:01.000Z","size":29,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":4,"default_branch":"main","last_synced_at":"2024-05-30T10:50:00.330Z","etag":null,"topics":[],"latest_commit_sha":null,"homepage":null,"language":"Python","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"mit","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/simula.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":"LICENSE","code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null}},"created_at":"2024-05-16T03:14:43.000Z","updated_at":"2024-05-30T10:50:18.142Z","dependencies_parsed_at":"2024-05-30T10:50:14.473Z","dependency_job_id":"92d1c105-c097-4b33-b9e8-cff891521499","html_url":"https://github.com/simula/REST","commit_stats":null,"previous_names":["simula/rest"],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/simula/REST","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/simula%2FREST","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/simula%2FREST/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/simula%2FREST/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/simula%2FREST/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/simula","download_url":"https://codeload.github.com/simula/REST/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/simula%2FREST/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":286080680,"owners_count":34445186,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2026-05-26T15:22:16.424Z","status":"online","status_checked_at":"2026-06-17T02:00:05.408Z","response_time":127,"last_error":null,"robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","robots_txt_url":"https://github.com/robots.txt","online":true,"can_crawl_api":true,"host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":[],"created_at":"2026-06-17T11:03:43.680Z","updated_at":"2026-06-17T11:03:45.078Z","avatar_url":"https://github.com/simula.png","language":"Python","funding_links":[],"categories":[],"sub_categories":[],"readme":"# REST\n\n# Elite Female Football Athletes Dataset and Analysis Tools\n\nThis 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.\n\n\n## Repository Structure\n- `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. \n- `data_preprocessing`: Script for preprocessing and loading in of the original gt3x files. Addditional, a list of visualisations. \n- `generate_reports.py`: Example script how to read in actigraphy files and generate sleep statistics, sleep annotations and plots. \n\n- `technical_validation.py`: Script for performing technical validation of data or models. The script reproduces the figures and results of the paper. \n\n- `annonymisation.py`: Script for anonymizing sensitive data. It applies techniques to remove or obfuscate personally which we used for the annonymisation of the data. \n\n- `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.\n\n## Installation\n\n1. Clone the repository:\n\n    ```bash\n    git clone https://github.com/simula/REST.git\n    cd REST\n    ```\n\n2. Create and activate a virtual environment:\n\n    ```bash\n    conda env create -f environment.yml\n    ```\n## Usage\n\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fsimula%2Frest","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fsimula%2Frest","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fsimula%2Frest/lists"}