Predicting spontaneous termination of atrial fibrillation (AF) as an edge computing architecture. Network params can be found here
These instructions will get you a copy of the project up and running on your local machine for development and testing purposes. See deployment for notes on how to deploy the project on a live system.
What things you need to install the software and how to install them.
Hardware:
- Arduino nano 33 BLE Sense Lite
- ESP32-S3-DevKitM-1
Software:
- wfdb python package
- tensorflow
- tflite for arduino
- poetry
Use poetry to install the virtual enviroment.
poetry install
poetry shell
To build software on hardware I used Arduino IDE.
- Piotr Baryczkowski - All the work - Piotr45
- Update README
- Rewrite train notebook to python file
- Clean code