A Real-Time Digital Pacemaker Pulse Detection Algorithm

Abstract

In this paper, we analysed the features of pacing pulses and challenging noises from clinical datasets collected at high sampling rate. A two-stage algorithm is proposed to detect pacing pulses for real-time application purpose. In the first stage, pulse candidates were picked up preliminarily after enhancing the rising and falling edges of the pulses and attenuating high frequency noises. More detailed morphology features were checked in the second stage to validate and confirm the candidates. The sensitivity and positive predictivity of the algorithm on the training and testing datasets both exceed 99%. The evaluation results illustrate the pretty good performance of the proposed algorithm.