Detection of ventricular tachycardia and ventricular fibrillation based on joint entropy.
- Author:
Jie CHEN
1
;
Jun WANG
Author Information
1. Image Processing and Image Communications Key Lab., College of Telecommunications & Information Engineering, Nanjing Univ. of Posts & Telecomm., Nanjing 210003, China.
- Publication Type:Journal Article
- MeSH:
Diagnosis, Differential;
Electrocardiography;
Entropy;
Humans;
Signal Processing, Computer-Assisted;
Tachycardia, Ventricular;
diagnosis;
physiopathology;
Ventricular Fibrillation;
diagnosis;
physiopathology
- From:
Journal of Biomedical Engineering
2010;27(1):24-27
- CountryChina
- Language:Chinese
-
Abstract:
This is a research with the aim of using joint entropy method to analyze the dynamical complexity information on the electrocardiogram signals recording of normal sinus rhythm (NSR), ventricular tachycardia (VT) and ventricular fibrillation (VF). We included the symbolic dynamical theory and surrogate data concept in it. By calculating the joint entropy between original and surrogate time series, we quantified the dynamical complexity of original series. By computer analysis of actual heartbeat rhythm data, the rationality of joint entropy method was confirmed. The results indicated that the joint entropy values of different signals can be of use in distinguishing the NSR, VT and VF signals.
