This project was proposed by Dr Dominique Blache and focuses on near-real-time analysis of episodic ultradian events (EUEs) in body temperature profiles.
This software package processes raw data generated by telemetric systems that can in near-real-time detect EUEs of temperature and store the characteristics of the detected EUEs. As the shape of EUEs can vary, the software offers options to test different mother wavelets and validates their best fit.
Documentation can be found here.
The application structure is based on Jean-Paul Calderone's Filesystem structure of a Python project. The application structure and explainations are as below:
eues
├── LICENSE
├── README.md
├── tests <-- Test folder containing relevant testing info
│ └── usability_tests/ <-- Subdir containing the usability tests information
└── core
├── kernel <-- Kernal package for data handling
│ ├── __init__.py <-- Function exports
│ ├── analyse.py <-- Load the data and begins the analysis from the kernels pkg
│ ├── get_features.py <-- Wavelet characteristic functions
│ ├── reconstruct.py <-- Data preprocessing and reconstruction
│ └── visualise_features.py <-- Plot eue characteristics
├── main.py <-- Main application module
└── gui.kv <-- Kivy GUI module
This project is licensed under the MIT License.