title: [Hilbert transform-based modelling of EKG].
abstract: Recent developments in modeling methods on the non-linear and non-stationary data, such as electrocardiograms (ECG), have received large attention by the time-frequency analysts. The technique presented in this paper is based on parametrical modeling of the instantaneous module as well as instantaneous phase, estimated directly from each ECG beat. The estimation is adaptive since, the parameters related to a specific ECG beat are calculated from a given reference signal. In order to evaluate the performance of our technique, data recorded from the MIT-BIH arrhythmia database are used.
authors.forename: J C
authors.initials: JC
authors.lastname: Nunes
authors.forename: A
authors.initials: A
authors.lastname: Nait-Ali
mesh_terms: D000465:Algorithms; D004562:Electrocardiography; D006801:Humans; D008955:Models, Cardiovascular; D012815:Signal Processing, Computer-Assisted