Evaluation of Autonomic Nervous System Through Spectral Analysis in Patients with Ischemic Heart Failure: A Systematic Review

Abstract Heart failure is one of the most complex pathologies and most prevalent diseases, with around 64 million people affected globally (2% of the total adult population). In the initial phase of heart failure, studies have shown that the autonomic nervous system is in a state of imbalance, with an increase in the influence of the sympathetic nervous system on the heart. Persistence of long-term activation of the autonomic nervous system produces a decrease in the levels of myocardial catecholamines and also promotes down-regulation of beta-1 receptors. This article is a systematic review of papers from four well-known and important scientific databases on the subject of power spectral analysis of ECG Holter monitoring in patients with heart failure. The PRISMA technique was used to identify the most relevant articles on this subject, and their results were presented based on importance of their use for the diagnosis of heart failure, for risk stratification of sudden death or arrhythmias, for the evaluation of certain treatments used, or for other possible pathophysiological mechanisms involved in the evolution of the disease.