In EIANet, ECG images were first converted to binary form, followed by noise reduction, connected component analysis, and morphological opening. A spatial attention module was incorporated into the ...

Abstract: The swift progression of Multimodal Large Language Models (MLLMs) has exhibited substantial potential within medical contexts, particularly in facilitating patient engagements that ...

Abstract: Background: electrocardiogram (ECG), as a low-cost and noninvasive measurement tool, plays a crucial role in detecting arrhythmias. However, the ECG measurement process is highly vulnerable ...