Artificial intelligence (AI) is a field of computer science that aims to mimic human thought
processes, learning capacity, and knowledge storage. AI techniques have been applied in …

Electrocardiogram (ECG) gives essential information about different cardiac conditions of
the human heart. Its analysis has been the main objective among the research community to …

The electrocardiogram (ECG) is a useful diagnostic tool to diagnose various cardiovascular
diseases (CVDs) such as myocardial infarction (MI). The ECG records the heart's electrical …

Over the past few decades, methods for classification and detection of rhythm or morphology
abnormalities in ECG signals have been widely studied. However, it lacks the …

Prompt identification of acute coronary syndrome is a challenge in clinical practice. The 12-
lead electrocardiogram (ECG) is readily available during initial patient evaluation, but …

Background and objective Myocardial infarction (MI) is one of the most threatening
cardiovascular diseases for human beings, which can be diagnosed by electrocardiogram …

Objective: We aim to provide an algorithm for the detection of myocardial infarction that
operates directly on ECG data without any preprocessing and to investigate its decision …

In this paper, a novel technique on a multiscale energy and eigenspace (MEES) approach is
proposed for the detection and localization of myocardial infarction (MI) from multilead …

Cardiovascular diseases (CVDs) are the main cause of cardiac death worldwide. The
Coronary Artery Disease (CAD) is one of the leading causes of these CVD deaths. CAD …

Identification and timely interpretation of changes occurring in the 12 electrocardiogram
(ECG) leads is crucial to identify the types of myocardial infarction (MI). However, manual …