Synthesis and Evaluation of Acute Myocardial Ischemia Using a Dynamical ECG Model

RINCON SOLER ANDERSON; VALVERDE ESTEBAN; FERNANDEZ BIZCAY CAROLINA; BONOMINI MARIA PAULA; ARINI PEDRO

Córdoba

Congreso; XXI CONGRESO ARGENTINO DE BIOINGENIERIA SABI 2017; 2017

Physiological situations are useful tools to generate sets of signals with specific characteristics intime and frequency. An application of this synthetic signals involves training and improvement ofalgorithms to detect different pathophysiological conditions. To obtain the best results,synthesized signals need to be highly comparable with the real ones. This study implements aprocedure to generate synthetic electrocardiogram (ECG) signals from patients referred topercutaneous transluminal coronary angioplasty (PTCA) and their respective control registersusing the ECGSYN model. In this order of ideas, the T-wave spectral variance (TSV) index was usedas a method to compare the information that synthetic signals contain in relation to their realcounterparts, and in this way, test the reliability of the ECGSYN. Results indicate high similitudebetween real T-waves and those produced by the model with a maximum error of 11% in theworst case. TSV indexes from real and synthetic signals reveal similar values in control and PTCAsituations. Additionally, no statistical differences (p = NS) were found between these values,indicating that the ECGSYN is capable to replicate a physiological scenario with acute myocardialischemia.