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Time-frequency analysis of human polymorphic ventricular tachycardia

Lookup NU author(s): Emeritus Professor Alan MurrayORCiD


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This study examined whether time-frequency analysis can reveal dynamic characteristics of human ventricular tachyarrhythmias, We investigated II episodes of self terminating polymorphic ventricular tachycardia (PVT) recorded from 7 patients during routine electrophysiology studies. The mean duration was 7.3 s (range 3.7-15.6 s). Surface ECG leads I, aVF and VI were recorded, as well as a bipolar electrogram from the right ventricular apex (RVA). The time frequency distribution (TFD) was obtained using a smoothed Wigner distribution algorithm with a time resolution of 20 ms and a frequency resolution of 0.488 Hz. An identical dominant frequency was recorded on all 3 ECG leads 34.5% of the time. There was a significant correlation between the reciprocal of DomF obtained from the RVA signal, and the VV interval (r=0.82, mean difference 0.2 ms SD 24.1 ms). Pn 8 of the II PVT recordings, DomF fell and VV interval increased prior to termination. This study has shown that time-frequency analysis is a valuable tool for investigating human tachyarrhythmias.

Publication metadata

Author(s): Clayton RH, Campbell RWF, Murray A

Publication type: Conference Proceedings (inc. Abstract)

Publication status: Published

Conference Name: Computers in Cardiology 1997

Year of Conference: 1997

Pages: 97-100

Online publication date: 06/08/2002

ISSN: 0276-6547

Publisher: IEEE


DOI: 10.1109/CIC.1997.647839

Library holdings: Search Newcastle University Library for this item

ISBN: 0780344464