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.
PVC diagnosis chaos theory chaotic feature lyapunov exponents
Haiman Du Yang Bai Suiping Zhou Hongrui Wang Xiuling Liu
College of Electronics and Information Engineering Hebei University Baoding,China School of Science and Technology Middlesex University London,UK
国际会议
厦门
英文
506-510
2014-08-19（万方平台首次上网日期，不代表论文的发表时间）