An Electrocardiogram (ECG) is a non-invasive test that is broadly utilized for monitoring and
diagnosing the cardiac arrhythmia. An irregularity of the heartbeat is generally defined as …

Introduction With the widespread availability of portable electrocardiogram (ECG) devices,
there will be a surge in ECG diagnoses. Traditional computer-aided diagnosis of arrhythmia …

Background Cardiac arrhythmia is a cardiovascular disorder characterized by disturbances
in the heartbeat caused by electrical conduction anomalies in cardiac muscle. Clinically …

The rise of vision-threatening diabetic retinopathy (VTDR) underscores the imperative for
advanced and efficient early detection mechanisms. With the integration of the Internet of …

This study aimed to develop a bimodal convolutional neural network (CNN) by co-training
grayscale images and scalograms of ECG for cardiovascular disease classification. The …

Background Heart failure (HF), a global health challenge, requires innovative diagnostic and
management approaches. The rapid evolution of deep learning (DL) in healthcare …

In the realm of precision medicine, the potential of deep learning is progressively harnessed
to facilitate intricate clinical decision-making, especially when navigating multifaceted …

An electrocardiogram (ECG) computes the electrical functioning of the heart, which is mostly
employed for finding various heart diseases of its feasibility and simplicity. Moreover, some …

Heart disease is a major health issue, and accurate diagnosis of irregular heartbeats and
heart failure is crucial. Current diagnostic processes can be time-consuming, requiring …

Arrhythmia is one of the cardiovascular disease types that affect humans and often leads to
death. generally, ECG signals uses to diagnose the patient's heart state where the ECG …