Novel method of signal analysis for ablation of Wolff-Parkinson-White syndrome

Scott R. Ceresnak, Gregory J. Gates, Lynn Nappo, Hillel W. Cohen, Robert H. Pass

Research output: Contribution to journalArticle

4 Citations (Scopus)

Abstract

Identification of the site of successful radiofrequency catheter ablation (RFCA) for Wolff-Parkinson-White (WPW) syndrome may be subjective. The purpose of this study was to develop an automated signal analysis program to predict a successful ablation site. Patients who underwent successful RFCA for WPW from 2008 2010 at our center were analyzed. Inclusion criteria were age <21 years, loss of preexcitation in <5 seconds, and sustained success at 3 months. Exclusion criteria were congenital heart disease and pacing during RFCA. The standard recording system signal was filtered into low frequency (LF 0≤0.02 Hz) and high frequency (HF >0.02≤0.45 Hz). Software identified the beginning of the HF signal, LF and R-wave peaks, LF/HF signal amplitude, and area under the HF/LF signals. Successful and unsuccessful (radiofrequency energy applied without accessory pathway block) signals were compared. Thirty patients were analyzed; 16 had both successful and unsuccessful signals, and 14 had a successful ablation with 1 radiofrequency application. Mean age was 13.7 ± 3.1 years, weight 54.9 ± 22.4 kg, and time to accessory pathway ablation 1.7 ± 1.4 seconds. Significant differences were found between successful and unsuccessful signals in area under HF signal, LF amplitude, LF to R time, HF ratio, and HF area × HF ratio. A receiver operating curve of HF area × HF ratio produced an area under the curve of 0.89. An HF area × HF ratio of 3.1 distinguished successful from unsuccessful signals with 100% specificity and 81% sensitivity. Automated signal analysis retrospectively differentiated successful from unsuccessful signals in patients undergoing RFCA for WPW. This software may improve the safety and efficacy of RFCA in children.

Original languageEnglish (US)
Pages (from-to)2-7
Number of pages6
JournalHeart Rhythm
Volume9
Issue number1
DOIs
StatePublished - Jan 2012

Fingerprint

Wolff-Parkinson-White Syndrome
Catheter Ablation
Software
Area Under Curve
Signal Transduction
Safety
Weights and Measures
Sensitivity and Specificity

Keywords

  • Ablation
  • Electrophysiology
  • Pediatric electrophysiology
  • Radiofrequency catheter ablation
  • Signal analysis
  • Wolff-Parkinson-White syndrome

ASJC Scopus subject areas

  • Cardiology and Cardiovascular Medicine
  • Physiology (medical)

Cite this

Novel method of signal analysis for ablation of Wolff-Parkinson-White syndrome. / Ceresnak, Scott R.; Gates, Gregory J.; Nappo, Lynn; Cohen, Hillel W.; Pass, Robert H.

In: Heart Rhythm, Vol. 9, No. 1, 01.2012, p. 2-7.

Research output: Contribution to journalArticle

Ceresnak, Scott R. ; Gates, Gregory J. ; Nappo, Lynn ; Cohen, Hillel W. ; Pass, Robert H. / Novel method of signal analysis for ablation of Wolff-Parkinson-White syndrome. In: Heart Rhythm. 2012 ; Vol. 9, No. 1. pp. 2-7.
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