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