Differentiation between Ischemic and Heart Rate Related Events Using the Continuous Wavelet Transform

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

Amería

Congreso; 8th International Work-Conference on the Interplay between Natural and Artificial Computation; 2019

Cardiovascular diseases are one of the main causes of deathin the world, as a result much efforts have been made to detect earlyischemia. Traditionally changes produced in the ST or STT segmentsof the heartbeat were analyzed. The main difficulty relies on alterationsproduced in the ST or STT segment because of non ischemic events, suchas changes in the heart rate, the ventricular conduction or the cardiacelectrical axis. The aim of this work is to differentiate between ischemicand heart rate related events using the information provided by the continuouswavelet transform of the electrocardiogram. To evaluate the performanceof the classifier, the Long Term ST Database was used, withischemic and non ischemic differentiated events annotated by specialists.The analysis was performed over 77 events (52 ischemic and 25 heartrate related), obtaining a sensitivity and positive predictivity of 86.64%for both indicators.