Cardiac arrhythmias, characterized by deviations from the normal rhythmic contractions of
the heart, pose a formidable diagnostic challenge. Early and accurate detection remains an …

Mobile health devices with automatic electrocardiogram diagnosis models facilitate long-
term cardiac monitoring and enhance the sensitivity of detecting paroxysmal cardiovascular …

Automatic analysis of electrocardiogram (ECG) signals is one of the applications in the
medical domain where deep learning methods demonstrate impressive performance …

Electrocardiography (ECG) is a crucial tool for diagnosing cardiovascular diseases. In
particular, combining clinical ECG with computer technology for automatic ECG analysis can …

Objectives Automatic detection of atrial fibrillation and flutter (AF/AFL) is a significant
concern in preventing stroke and mitigating hemodynamic instability. Herein, we developed …

To achieve optimal performance in practical applications, the electrocardiogram (ECG)
diagnosis models have to be personalized using the ECG data of specific patients. Most …

Wearable systems for the long-term monitoring of cardiovascular diseases are becoming
widespread and valuable assets in diagnosis and therapy. A promising approach for real …

The evolution of anthropomorphic robotic hands (ARH) in recent years has been sizable,
employing control techniques based on machine learning classifiers for myoelectric signal …

心电（ ECG） 信号是心律失常和心肌梗死诊断的重要依据。 为进一步提升心律失常和心肌梗死
分类效果， 提出了一种基于Convolutional vision Transformer（ CvT） 和多模态图像融合的心电 …

Ushbu maqolada yurak-qon tomir kasalliklari diagnostikasi uchun ishlatiladigan turli xil
texnologiyalar, algoritmlar va vositalar keltirilgan. So'nggi paytlarda CNN EKG tasnifining …