title: [Detrended fluctuation analysis of pathological cardiac signals].
abstract: The analysis of pathological electrocardiogram (ECG) signals is of importance for aided clinical diagnosis. We analyzed the self-similarity of normal heart rhythm, congestive heart failure and sudden cardiac death signal in the present paper using detrended fluctuation analysis (DFA), in order to achieve these two pathological ECG signal detection. The scale index(alpha) was achieved by analyzing and detecting normal heart rhythm, congestive heart failure and sudden cardiac death in the MIT-BIH standard database. Analysis of variance showed that the scale index could distinguish between congestive heart failure and sudden cardiac death accordingly.
authors.affiliation: Image Processing and Image Communications Key Lab., College of Gao & Bio Information, Nanjing University of Posts & Telecomm., Nanjing 210003, China. wangj@njupt.edu.cn
authors.forename: Jun
authors.initials: J
authors.lastname: Wang
authors.forename: Chunlong
authors.initials: C
authors.lastname: Wang
mesh_terms: D016757:Death, Sudden, Cardiac; D004562:Electrocardiography / Q000379:methods*; D017709:Fractals; D006333:Heart Failure / Q000503:physiopathology*; D006801:Humans; D017711:Nonlinear Dynamics; D012815:Signal Processing, Computer-Assisted