Electrocardiogram (ECG) signals represent the electrical activity of the human hearts and
consist of several waveforms (P, QRS, and T). The duration and shape of each waveform …

Classification of electrocardiogram (ECG) signals plays an important role in diagnoses of
heart diseases. An accurate ECG classification is a challenging problem. This paper …

By running applications and services closer to the user, edge processing provides many
advantages, such as short response time and reduced network traffic. Deep-learning based …

In the biomedical science and research field, the electrocardiogram provides better results
due to advancements in technologies. The electrocardiogram is the electrical activity of the …

Heart is the most important organ of the human body, and Electrocardiogram (ECG) is an
essential tool for clinical monitoring of heart health and detecting cardiovascular diseases …

Cardiovascular diseases remain one of the main threats to human health, significantly
affecting the quality and life expectancy. Effective and prompt recognition of these diseases …

Proceeding from broadly accepted role of emotional intelligence (EI) in professional and
personal life, the paper suggests a new learning model (LM) called Student-Self Oriented …

An arrhythmia is an abnormality in the heart rhythm, or heartbeat pattern. ECG beats can be
classified into six different arrhythmia beat types (left bundle branch block, right bundle …

The analysis of ECG signal, especially the QRS complex as the most characteristic wave in
ECG, is a widely accepted approach to study and to classify cardiac dysfunctions. In this …

Interest in research involving health-medical information analysis based on artificial
intelligence has recently been increasing. Most of the research in this field has been focused …