This project presents a system for automatic detection and segmentation of QRS complexes in ECG signals, combined with a mobile application for interactive cardiac analysis and reporting.
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Updated
Oct 1, 2025 - Python
This project presents a system for automatic detection and segmentation of QRS complexes in ECG signals, combined with a mobile application for interactive cardiac analysis and reporting.
The solution for the AI-challenge hackathon is track Medicine. The task was to develop an algorithm for analyzing ECG signals for the diagnosis of cardiac pathologies, in particular, determining the presence or absence of signs of myocardial infarction in a patient (binary class.), followed by localization of the disease (multi-label class.)
Multivariate timeseries multiclass classification challenge at Politecnico di Milano 2022
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