Method to detect cardiac abnormalities based on electrocardiography and sinoatrial pacemaker model

In this paper, a new method for detecting cardiac abnormalities (bradycardia and tachycardia) is proposed. Based on the YNI (Yanagihara, Noma, and Irisawa) model to analyze the pole-zero characteristics of the phase error between abnormal electrocardiography (ECG) and entrained YNI-response, it develops a diagnostic pacemaker system that can replace multiple sensors. The work derives for the first time the thresholds of poles and zeros to diagnose deadly bradycardia and tachycardia, respectively. Simulation analysis confirms that the proposed pole-zero characteristics of cardiac abnormalities is effective to complete a diagnostic process for a pacemaker in real time. The results of this study will be useful not only for detection and analysis of cardiac abnormalities but also for improvement of the performance of pacemakers.