Develop a deep learning based strategy for the fetal and mother heart rate identification on sintetic NI-FECG signals.
- A deep neural network design for the fetal and mother heart rate identification on sintetic NI-FECG signals.
- A deep neural network implementation for the fetal and mother hearh rate identification on sintetic NI-FECG signals.
- A set of sintetic NI-FECG signals generated by the PhysioNet simulator
- Publish the research results
Generate the conda environment
conda env create --file nifecg.yml
Install all python dependecies required for the project
pip install -r requirements.txt
If you required to install additional tools please update the nifecg.yml and requiremets.txt files.
rm nifecg.yml
conda env export --name nifecg > nifecg.yml
rm requirements.txt
pip freeze > requirements.txt