Myocardial infarction is a common cardiovascular disorder caused by prolonged ischemia,
and early diagnosis of myocardial infarction (MI) is critical for lifesaving. ECG is a simple and …

The success of deep learning over the traditional machine learning techniques in handling
artificial intelligence application tasks such as image processing, computer vision, object …

Electrocardiogram (ECG) is an authoritative source to diagnose and counter critical
cardiovascular syndromes such as arrhythmia and myocardial infarction (MI). Current …

Myocardial infarction (MI) is a lethal heart condition that occurs due to the lack of blood flow
to the heart tissues. Based on the time from symptoms onset, it is categorized into three …

Due to the complexity of myocardial infarction (MI) waveform, most traditional automatic
diagnosis models rarely detect it, while those able to detect MI often require high computing …

Automatic electrocardiogram beat classification is a prevalent field of research among the
biomedical and computer science researchers. In the last decade, the research has seen a …

Myocardial infarction (MI), commonly known as a heart attack, can cause nonrecoverable
impairment to the cardiac muscles, which may even result in fatality. Therefore, it is crucial to …

An implantable cardioverter-defibrillator (ICD) is a device that must detect VT and VF
arrhythmias on time and treat them. In this project, three CNN networks are designed to …

Myocardial infarction (MI) is a severe heart disease requiring immediate and accurate
detection for effective treatment. Deep learning (DL) algorithms have recently shown …

Cardiac arrhythmia are aggravations in the pattern of heart, brought about by anomaly or
strange quick or slow pulses. The scope of cardiovascular arrhythmias incorporates …