Ponco Siwindarto, Wardana, M. Rasjad Indra, M. Aris Widodo
Installation of an implantable cardioverter defibrillator (ICD) in patients at risk of sudden cardiac death (SCD) requires the accurate identification of patients condition. This study uses RR interval data obtained from ECG recordings of non-SCD and SCD prospective subjects. The successive RR interval data was used as input for Poincaré plot of RR Interval Differences (PORRID). The points in the PORRID were colored base on position of current and previous points as green, red, and yellow color. The identified characteristics of subject who will experience SCD was used as the basis for prediction of SCD events. The experimental result show that sudden cardiac death can be predicted using PORRID by the accuracy of 85%, in up to 20 hours before the onset of SCD. © 2015 Ponco Siwindarto, ING. Wardana, M. Rasjad Indra, and M. Aris Widodo.
Faculty of Engineering, Brawijaya University, Malang, Indonesia; Faculty of Medicine, Brawijaya University, Malang, Indonesia
