DocumentCode :
319772
Title :
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
Link To Document :
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