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 …

Cardiovascular diseases represent the leading global cause of death, typically diagnosed
and addressed through electrocardiograms (ECG), which record the heart's electrical …

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 …

The adoption of the Internet of Things (IoT) in our technology-driven society is hindered by
security and data privacy challenges. To address these issues, Artificial Intelligence (AI) …