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

PEDRO DAVID ARINI; ESTEBAN RAUL VALVERDE; CAROLINA FERNÁNDEZ BISCAY; MARÍA PAULA BONOMINI; ANDERSON IVÁN RINCON SOLER

Córdoba

Congreso; XXI CONGRESO ARGENTINO DE BIOINGENIERIA; 2017

Universidad Nacional de Córdoba

Dynamical models capable to mimic real physiological situations are useful tools to generate sets of signals with specific characteristics in time and frequency. An application of this synthetic signals involves training and improvement of algorithms to detect different pathophysiological conditions. To obtain the best results, synthesized signals need to be highly comparable with thereal ones. This study implements a procedure to generate synthetic electrocardiogram (ECG) signals from patients referred to percutaneous transluminal coronary angioplasty(PTCA) and their respective control registers using the ECGSYN model. In this order of ideas, the T-wave spectral variance (TSV) index was used as a method to compare the information that synthetic signals contain in relation to their real counterparts, and in this way, test the reliability of the ECGSYN. Results indicate high similitude between real T-waves and thoseproduced by the model with a maximum error of 11% in the worst case. TSV indexes from real and synthetic signals reveal similar values in control and PTCA situations. Additionally, no statistical differences (p=NS) were found between these values, indicating that the ECGSYN is capable to replicate a physiological scenario with acute myocardial ischemia.