Project DetailsThis work is a collaboration with Cardiac Sense, a company specializing in the development of products for heart activity analysis. The project focuses on a variety of tasks involving the processing of ECG signals, with the main objective being advanced analysis of the electrical signals derived from heart activity. Within the project, various advanced operations are performed on the signals, with the primary goal- detection of QRS complexes and P and T waves, as well as the classification of various ECG signals according to heart activity. Finding and analyzing QRS signals can contribute to a deeper understanding of heart activity, including the diagnosis of heart diseases, classification, and the potential for clinical research into heart activity.
In this project, we use a variety of classical and advanced signal processing methods to detect ECG signal complexes. The algorithms we implemented in the project were developed in Python environment, based on academic articles focusing on heart electrical activity, ECG signal characterization, and useful algorithms for ECG signal analysis.
