Early Prediction of Cardiac Arrhythmia using Novel Bio-inspired Algorithms

Cardiovascular disease is one of the world's most dangerous problems since it cannot be seen with the naked eye and strikes suddenly when its levels are reached. Cardiovascular disease (CVD) has reached the top of the list of non-infectious and non-transmissible disease deaths worldwide. Arrhythmias are a set of cardiovascular disorders described by irregular heartbeats that can be slow, rapid, or both. Cardiac arrhythmias are responsible for a large number of cardiac arrests and sudden deaths. They can happen on their own or in combination with other heart conditions. Some significant arrhythmias can happen out of nowhere, resulting in sudden death, stroke, heart failure, and coronary artery disease. Many of the medical procedures used to treat cardiac arrhythmias are traditional. Especially when contrasted to costly procedures that may be required if detection and therapy are delayed and the patient has advanced illness stages. To deliver an early, effective, prediction of CVDs, health systems need to be further strengthened. A computer-assisted automated prediction and classification of heart diseases using Bio-Inspired Optimization Algorithms is suggested in this research work. Extraction, classification, and diagnostic sections would be part of the proposed method. This work helps in diagnosis of cardiac arrhythmias. This study also helps effectively and accurately to diagnose the heart condition, which could help the doctor to treat and manage the disease effectively.