title: Exploiting correlation of ECG with certain EMD functions for discrimination of ventricular fibrillation.
abstract: Ventricular fibrillation (VF) is a life-threatening cardiac arrhythmia. A high impulse current is required in this stage to save lives. In this paper, an empirical mode decomposition (EMD) based algorithm is presented to separate VF from other arrhythmias. The characteristics of the VF signal has high degree of similarity with the intrinsic mode functions (IMFs) of the EMD decomposition in comparison to other ECG pathologies. This high correlation between the VF signal and its certain IMFs is exploited to separate VF from other cardiac pathologies. Reliable databases are used to verify effectiveness of our algorithm and the results demonstrate superiority of our proposed technique compared to other well-known techniques of VF discrimination.
authors.affiliation: Department of Electrical and Electronic Engineering, Bangladesh University of Engineering and Technology, Dhaka 1000, Bangladesh. emrananas@eee.buet.ac.bd
authors.forename: Emran Mohammad Abu
authors.initials: EM
authors.lastname: Anas
authors.forename: Soo Yeol
authors.initials: SY
authors.lastname: Lee
authors.forename: Md Kamrul
authors.initials: MK
authors.lastname: Hasan
mesh_terms: D000465:Algorithms; D019540:Area Under Curve; D019295:Computational Biology; D004562:Electrocardiography / Q000379:methods*; D006801:Humans; D012372:ROC Curve; D012815:Signal Processing, Computer-Assisted; D014693:Ventricular Fibrillation / Q000175:diagnosis / Q000503:physiopathology*