Publications

Abstract # Reliable wave morphology extraction from the electrocardiogram (ECG) is crucial for enabling effective and trustworthy diagnosis and monitoring of heart conditions. Therefore, we propose a novel physiology-informed ECG delineation algorithm based on prominence information as an explainable metric for morphology point selection.

Abstract # The effective detection and accurate clinical diagnosis of cardiac conditions strongly relies on the correct localization of R-peaks in the electrocardiogram (ECG). Recently, demand for sample-accurate R-peak detection, which is essential to precisely reveal vital features, such as heart rate variability and pulse transit time, has increased.