Advancements in Myocardial Infarction Detection and Classification Using Wearable Devices: A Comprehensive Review

The following sections will delve deep into the comparisons Myocardial infarction (MI), also known as a heart attack, is between various MI classification methods put forward by caused by reduced blood flow to the heart chambers. MI can researchers over the years, which will facilitate a clear understanding be silent and undetected, or it can have serious effects and lead on the same.The paper explores various methodologies to death. Most myocardial infarctions are caused by coronary including machine learning,deep learning, VLSI, and IoTbased artery disease. When a coronary artery blockage occurs, there methods contributing to efficient and accurate detection is a lack of oxygen within the heart muscle. Prolonged lack and classification of Myocardial infarction that can be implemented of oxygen supply to the heart can lead to death and necrosis in wearables for a timely analysis.By synthesizing of myocardial cells. Patients experience chest discomfort or findings from relevant studies, the review highlights strengths, tightness that can spread to the neck, jaw, shoulders, or arms.