title: Correlation dimensions and entropy of series in electrocardiogram.
abstract: Heart is one of the most complex dynamic system. Indeed, ECG is important information which reflect the active states of heart. In this paper, select 24 data files of ECG from MIT-BIH database and divide these data into four groups. Series of Rpeaks and RR-intervals extracted from these electrocardiograms are analyzed with the correlation dimension and correlation entropy. The results showed that there are obviously different dynamic characteristics in the four groups. Use the methods of nonlinear dynamics to extract dynamic characteristics from ECG so as to research active states of heart and help doctors clinical application for early diagnose diseases of heart in future.
authors.affiliation: Information and Communication Engineering Department, College of Physics and Information Engineering,Fuzhou University, Fuzhou 350002,China, Email: Yangmj5@fzu.edu.cn.
authors.forename: Yang
authors.initials: Y
authors.lastname: Mingjing