AI RESEARCH
One Dimensional CNN ECG Mamba for Multilabel Abnormality Classification in 12 Lead ECG
arXiv CS.CV
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ArXi:2510.13046v2 Announce Type: replace Accurate detection of cardiac abnormalities from electrocardiogram recordings is regarded as essential for clinical diagnostics and decision. Traditional deep learning models such as residual networks and transformer architectures have been applied successfully to this task, but their performance has been limited when long sequential signals are processed. Recently, state space models have been