SCCG will support the strategic positioning, introductions, and market expansion of The Vegas Walk Method® across ...

Director Jung Hyun-sook of the Seoul Health Screening Center at Gangbuk Samsung Hospital, who saved patients thanks to AI (artificial intelligence) applied to electrocardiogram (ECG) devices, said, ...

Recently, a research team from the Hefei Institutes of Physical Science of the Chinese Academy of Sciences, has developed a new deep learning method that improves the classification accuracy of mixed ...

Background: Brain natriuretic peptide (BNP) is a key heart failure biomarker. Single-lead electrocardiograms (ECGs) from wearable devices offer valuable diagnostic and prognostic insights. We ...

Introduction: Myocardial infarction (MI) alters the heart’s electrophysiology, often seen as ST-segment deviation, T-wave inversion, or QRS distortion in electrocardiogram (ECG). While these features ...

自适应1D卷积神经网络（CNN）设计：提出的1D CNN模型可以用于心电图（ECG）的特征提取和分类，设计中去除了传统的MLP层 ...

Abstract: Automated electrocardiogram (ECG) classification tasks play a crucial role in clinical but face challenges due to the scarcity of accessible and well-labeled data. ECG data augmentation is ...

In a study of patients with cutaneous sarcoidosis, ECG abnormalities identified all cases of cardiac involvement, demonstrating 100% sensitivity and 100% negative predictive value. Researchers ...