Heart Rate Variability Analysis Using Wavelet Transform

Abstract

The heart's primary job is to pump blood throughout the body through the arterial system to deliver oxygen and essential nutrients. In this case, the coronary arteries are the arteries that, like those in all other muscles, provide oxygen and nutrition to the heart. A blockage of these veins often results in a heart attack, or the cessation of the heart's beating. In fact, coronary heart disease has been shown to be the leading cause of death in wealthy countries. Angina, heart failure, myocardial infarction1 (MI), and unexpected death can all be caused by coronary artery blockages. However, the likelihood of another infarction is increased because the heart has often already suffered severe damage and lost muscle tissue. Heart-related issues may arise from degeneration in the central nervous system (CNS), which regulates the circulatory system. One important indicator of cardiac conditions and conditions affecting the autonomic nervous system (ANS) is heart rate variability (HRV). HRV is more valuable since it can be investigated non invasively.
Electrocardiography and the difference between the peaks of R-to-R intervals can be used to determine HRV. A three-lead ECG can be used to extract HRV for experimental treatments. This is adequate for studying the autonomic nervous system.