2 citations · 3 across the 2 of their papers we have counts for
2 papers
cs.LG2025★ 1 cited
ExChanGeAI: An End-to-End Platform and Efficient Foundation Model for Electrocardiogram Analysis and Fine-tuning
Lucas Bickmann, Lucas Plagwitz, Antonius Büscher +2
Electrocardiogram data, one of the most widely available biosignal data, has become increasingly valuable with the emergence of deep learning methods, providing novel insights into…
eess.SP2024★ 2 cited
The Rlign Algorithm for Enhanced Electrocardiogram Analysis through R-Peak Alignment for Explainable Classification and Clustering
Lucas Plagwitz, Lucas Bickmann, Michael Fujarski +5
Electrocardiogram (ECG) recordings have long been vital in diagnosing different cardiac conditions. Recently, research in the field of automatic ECG processing using machine learni…