title: [Analysis and detection of abnormal ECG signal: ventricular tachycardia and fibrillation].
abstract: This paper, utilizing signal power spectrum and L-Z complexity measure, analyzes the abnormal ECG: ventricular tachycardia (VT) and ventricular fibrillation (VF). And on the base of linear and nonlinear dynamics, the paper forwards a new definition of information complexity rate, deduces some relative properties and applies it to complexity analysis in irregular ECG. By means of biological experiments and computer simulations, the reasonability of information complexity and complexity rate is confirmed. At last, objective analysis and explanations of the mechanism of VT and VF are reported. The results indicate: with the help of power spectrum, complexity measure and complexity rate, the recognition of VT and VF can attain 100%.
authors.affiliation: Dept. of Biomedical Engineering, Shanghai Jiaotong University, 200030.
authors.forename: H X
authors.initials: HX
authors.lastname: Zhang
authors.forename: Y S
authors.initials: YS
authors.lastname: Zhu
authors.forename: Z M
authors.initials: ZM
authors.lastname: Wang
mesh_terms: D000465:Algorithms; D000704:Analysis of Variance; D003198:Computer Simulation; D004562:Electrocardiography; D006801:Humans; D017711:Nonlinear Dynamics; D012815:Signal Processing, Computer-Assisted; D017180:Tachycardia, Ventricular / Q000503:physiopathology*; D014693:Ventricular Fibrillation / Q000503:physiopathology*