Assessment of stationarity horizon of the heart rate

Author

Thonet, Gilles ; Duvanel, Thierry ; Vesin, Jean-Marc ; Pruvot, Etienne ; Fromer, Martin

Author_Institution

Signal Process. Lab., Fed. Inst. of Technol., Lausanne, Switzerland

Volume

4

fYear

1996

fDate

31 Oct-3 Nov 1996

Firstpage

1600

Abstract

This work presents a new method using time-varying autoregressive modelling for the assessment of heart rate signals stationarity in patients before the onset of ventricular tachyarrhythmias, including comparison with a control group. A general stationarity trend is reported for all subjects, and particularly no significant change is observed before an arrhythmic event. Evaluation of the model fitting performed by a hypothesis test suggests the presence of nonlinearities

Keywords

autoregressive processes; electrocardiography; medical signal processing; physiological models; time-varying systems; arrhythmic event; heart rate signals stationarity assessment; hypothesis test; model fitting; nonlinearities; time-varying autoregressive modelling; ventricular tachyarrhythmias; Cardiology; Fitting; Heart rate; Hospitals; Laboratories; Linear approximation; Pacemakers; Signal processing; Stochastic processes; System testing;

fLanguage

English

Publisher

ieee

Conference_Titel

Engineering in Medicine and Biology Society, 1996. Bridging Disciplines for Biomedicine. Proceedings of the 18th Annual International Conference of the IEEE

Conference_Location

Amsterdam

Print_ISBN

0-7803-3811-1

Type

conf

DOI

10.1109/IEMBS.1996.647570

Filename

647570