This repository contains a QRS detector for ECG signals, implemented as Analysis of electrocardiographic (ECG) signals assignment for the Biomedical Signal and Image Processing course at the master's study at the Faculty of Computer and Information Science Ljubljana in 2023/24. It is based on the Robust Detection of Heart Beats using Dynamic Thresholds and Moving Windows paper by Vollmer.
The project was tested on Python 3.11.5 using the packages listed in
requirements.txt. To create a virtual environment and install the required
packages, run:
python --version
> Python 3.11.5
python -m venv venv
. venv/bin/activate
pip install -r requirements.txtScript detector.py takes a single argument, the path to the ECG record
without the file extension. For help and examples, run the script without
arguments.
Script eval_all.sh runs the detector on all database records and saves the
annotations in the annotations directory.
Evaluation is done using the evaluation.ipynb Jupyter notebook on the set-p
dataset, which was also used in the original paper.