A novel method for diagnosing premature ventricular contraction beat based on chaos theory

Premature Ventricular Contraction (PVC) is a common type of abnormal heartbeat. Without early diagnosis and proper treatment, PVC may result in more serious harms. Diagnosis of PVC is of great importance in goal-directed treatment and preoperative prognosis. In this paper, we propose a novel diagnostic method for PVC based on chaos theory, where classification of PVC from other types (normal(N), premature atrial contractions(PAC), right bundle branch block(RBBB)) of ECG beats can be done through chaotic feature extraction. To verify the effectiveness of the proposed method, a series of experiments have been conducted with data from MIT-BIH database.