An AI-Driven Cardiovascular Monitoring and Arrhythmia Detection System
A proposed project on heart monitoring for my thesis at the ECE Department, Technical University of Crete [1].
First, install the necessary dependencies by running:
pip install -r requirements.txt-
Connect to a Movesense Device and Capture ECG Data
To connect to a Movesense device, capture raw ECG data, and process it, run:python manage.py
-
Display Processed Data
To display the processed data, use:python analytics.py
- No Movesense Device Available?
If a Movesense device is not available, and you need to runmanage.py, modify the code as follows:- Uncomment the
hl.*methods. - Comment the referring
mv_blk.*methods.
- Uncomment the
- Currently, the
manage.pyapplication can only connect to one Movesense device and process ECG data. - The application might sometimes be a bit buggy, so please report any issues you encounter.
- Update the project documentation and improve stability.
[1] Evangelos Katsoupis, "Development of a cardiovascular disease monitoring system", Diploma Work, School of Electrical and Computer Engineering, Technical University of Crete, Chania, Greece, 2024 https://doi.org/10.26233/heallink.tuc.100510
[2] E. Katsoupis, A. Karasmanoglou, M. Zervakis and M. Antonakakis, "Pulsense: An AI-Driven Cardiovascular Monitoring and Arrhythmia Detection System," 2024 IEEE 24th International Conference on Bioinformatics and Bioengineering (BIBE), Kragujevac, Serbia, 2024, pp. 1-8, https://doi.org/10.1109/BIBE63649.2024.10820493