ECG wavelet analysis for the detection of gene mutations in patients with Brugada syndrome

V. N. Batchvarov*, G. Bortolan, I. I. Christov, R. Bastiaenen, H. Raju, A. Naseef, E. R. Behr

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference proceeding contributionpeer-review

1 Citation (Scopus)

Abstract

We applied wavelet transform (WT) to digital electrocardiograms (ECG) acquired during positive ajmaline test for Brugada syndrome (BrS) in 12 patients (pts) with and 14 pts without gene mutations. Continuous WT was applied to the QRS complex and the ST-T wave on leads V1 to V3 in 4th and 3 rd intercostal space (i.c.s.) (Group A, 13 pts) and leads V1 and V2 from 4th, 3rd and 2nd i.c.s. (Group B, 13 pts) using 256 levels. In group A, there was significantly higher QRS energy at high frequencies in pts with mutations (n=4) both at baseline and during maximum drug effect. In group B, patients with mutations (n=7) had higher QRS energy at low frequencies and higher ST-T energy at low frequencies at baseline and during drug effect. Continuous WT can help identify carriers of gene mutations among patients with BrS, especially when applied to leads V1 and V2 from the 4 th to 2nd i.c.s.

Original languageEnglish
Title of host publicationComputing in Cardiology 2011, CinC 2011
Pages785-788
Number of pages4
Volume38
Publication statusPublished - 1 Dec 2011
Externally publishedYes
EventComputing in Cardiology 2011, CinC 2011 - Hangzhou, China
Duration: 18 Sep 201121 Sep 2011

Conference

ConferenceComputing in Cardiology 2011, CinC 2011
CountryChina
CityHangzhou
Period18/09/1121/09/11

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