Interpretation of the ECG as a diagnostic tool in cardiac electrophysiology
DOI:
https://doi.org/10.57188/ricsa.2025.026Keywords:
Electrocardiography, Electrophysiology, Arrhythmias, Atrial Fibrillation, Artificial Intelligence, Education MedicalAbstract
Cardiovascular diseases remain the leading cause of death globally, with cardiac electrical conduction disorders such as arrhythmias playing a key role in this burden. This review article presents an integrative approach to cardiac electrophysiology, from the physiological processes of the generation and propagation of the cardiac electrical signal, through the interpretation of ECG components and the evaluation of the cardiac vector. It includes diagnostic protocols using intracardiac recordings and explores emerging technologies such as artificial intelligence applied to ECG signal analysis, as well as the use of wearable multi-lead monitoring systems. These advances offer new insights for arrhythmia detection, risk segmentation, and therapeutic strategies. The article highlights the importance of promoting electrophysiological research and strengthening medical education with applied methodologies, aiming to enhance clinical training and cardiovascular care quality.
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Copyright (c) 2025 Dennis Gerardo Mendoza Palma, Gustavo Adolfo Ortega Contreras, Mariesther Sarai Ortiz Valencia, Jeanpierre Agustín Paredes Bautista, Alessandro Humberto Pascacio Armas
This work is licensed under a Creative Commons Attribution 4.0 International License.
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