IEEE

Heart Disease Classification using FusionNet to Extract SpatioTemporal Features from ECG Signal

Abstract: An electrocardiogram (ECG) is a foundational tool for diagnosing cardiovascular diseases. However, the assessment of ECG data often depends on the subjective expertise of medical ...
Frontiers

End-to-End Non-Invasive ECG Signal Generation from PPG Signal: A Self-Supervised Learning ...

The final, formatted version of the article will be published soon. Electrocardiogram (ECG) signals are frequently utilized for detecting important cardiac events, such as variations in ECG intervals, ...
Frontiers

Exploring the Feasibility of Real-Time On-Device ECG Biometric Classification Using ...

1 Faculty of Electrical Engineering and Informatics, Slovak University of Technology in Bratislava, Bratislava, Slovakia 2 International Laser Centre, Ilkovicova 3,841 04, Bratislava 4, Slovak ...
IEEE

ECG Heartbeat Classification Using Multimodal Fusion

Abstract: Electrocardiogram (ECG) is an authoritative source to diagnose and counter critical cardiovascular syndromes such as arrhythmia and myocardial infarction (MI). Current machine learning ...