ECG classification or heartbeat classification is an extremely valuable tool in cardiology.
Deep learning-based techniques for the analysis of ECG signals assist human experts in the …

The supremacy of deep learning in artificial intelligence (AI) contexts, including image and
speech recognition, computer vision, and medical imaging, among others, has established it …

In 2020, there were more than 1.2 million new skin cancer diagnoses, and melanoma was
the most recurrent type of cancer. On the other hand, melanoma is the least common but …

With cardiovascular diseases (CVD) remaining a leading cause of mortality, wearable
devices for monitoring cardiac activity have gained significant, renewed interest among the …

An electrocardiogram (ECG) uses electrodes to monitor the heart rhythm and identify minute
electrical changes that occur with each beat. It is employed to investigate particular varieties …

Accurate classification of grapevine leaves is crucial for the advancement of vineyard
industries, as different grapevine varieties require distinct care techniques. However, the …

Organism network systems provide a biological data with high complex level. Besides, these
data reflect the complex activities in organisms that identifies nonlinear behavior as well …

In this paper, we propose a method of extracting features from ECG signals based on the
sparse representation of double-threshold Stagewise orthogonal matching Pursuit. First, the …

The classification of cardiovascular diseases using ECG data is considered. It is argued that
to obtain a satisfactory classification features should be extracted from ECG images in their …

The application of artificial intelligence (AI) to electrocardiograms (ECGs) and
photoplethysmograph (PPG) for diagnosing significant coronary artery disease (CAD) is not …