title: [Complexity analysis of ECG signal based on Jensen-Shannon divergence].
abstract: In the present study, complexity measure based on Jensen-Shannon Divergence (JSD) was used to compute complexity of the ECG signals, which include normal sinus rhythm (NSR), congestive heart failure (CHF) and sudden cardiac death (SD) signals from the MIT-BIH standard database. The results showed that the three kinds of signals had different complexity measures. NSR has the highest complexity, followed by CHF, and SD has the lowest complexity. The variance test indicated that above-mentioned analysis could disclose significant differences among complexities of these three signals. It has good reference for clinical detecting and diagnosing with CHF and SD signals.
authors.affiliation: Image Processing and Image Communications Key Lab, Nanjing Univ. of Posts & Telecomm., Nanjing 210003, China.
authors.forename: Huan
authors.initials: H
authors.lastname: Xu
authors.forename: Jun
authors.initials: J
authors.lastname: Wang
mesh_terms: D016757:Death, Sudden, Cardiac; D004562:Electrocardiography; D006333:Heart Failure / Q000503:physiopathology*; D006801:Humans; D008962:Models, Theoretical; D012815:Signal Processing, Computer-Assisted