IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING, VOL. 64, NO. 10, OCTOBER 2017 2411 ECG-Based Classification of Resuscitation Cardiac Rhythms for Retrospective Data Analysis Ali Bahrami Rad∗, Student Member, IEEE, Trygve Eftestøl, Member, IEEE, Kjersti Engan, Member, IEEE, Unai Irusta, Jan Terje Kvaløy, Jo Kramer-Johansen, Lars Wik, and Aggelos K. Katsaggelos, Fellow, IEEE Abstract— Objective: There is a need to monitor the heart rhythm in resuscitation to improve treatment quality. Re- suscitation rhythms are categorized into: ventricular tachy- cardia (VT), ventricular fibrillation (VF), pulseless electrical activity (PEA), asystole (AS), and pulse-generating rhythm (PR). Manual annotation of rhythms is time-consuming and infeasible for large datasets. Our objective was to develop ECG-based algorithms for the retrospective and automatic classification of resuscitation cardiac rhythms. Methods: The dataset consisted of 1631 3-s ECG segments with clin- ical rhythm annotatio
