Adaptive algorithm for PVC recognition based on multiple template matching

An adaptive algorithm for PVC recognition based on multiple template matching is presented.Filtering technology is adapted to improve the SNR of ECG data and a template database is established with training samples through self-learning method.The corre-lation coefficient is used to detect PVC beats from normal beats,with a compressed method specially designed to adjust the width of the tested heartbeat and the template.A two-stage strategy is proposed based on template queue matching and template database matching and a self-adaptive method is implemented to optimize the two data structures.The performance of this algorithm is evaluated on the MIT-BIH arrhythmia database and the achieved sensitivity for PVC is 99.39% while the specificity is 98.79%.