Literature DB >> 16377927

Evaluation of arrhythmogenic substrate in patients with hypertrophic cardiomyopathy using wavelet transform analysis.

Hideo Takayama1, Kenji Yodogawa, Takao Katoh, Teruo Takano.   

Abstract

BACKGROUND: Hypertrophic cardiomyopathy (HCM) is thought to have a microvolt-level electrical disarrangement in the myocardium that leads to ventricular tachyarrhythmias and sudden cardiac death. Although signal-averaged electrocardiography (ECG) has been used to detect late potential as a parameter of electrical instability, its predictability is not high. The focus of the present study was the ability of high-resolution wavelet transform from beat-to-beat analysis to detect arrhythmogenic substrates and to evaluate its relationship to the severity of ventricular tachycardia. METHODS AND
RESULTS: The study group comprised 50 healthy subjects and 50 patients with HCM. The filtered-QRS duration from the signal-averaged ECG, the high-power duration (HPD) and number of disarrangement points (NDP) from the wavelet-transform ECG were measured. When HPD was defined >114 ms and/or NDP >9 points as abnormal, the sensitivity and specificity for ventricular tachycardia was 93.8% and 79.4%, respectively. When a mean +/- standard deviation of the HPD in normal subjects was defined as normal, 93.8% of patients with a positive late potential were out of the normal range.
CONCLUSIONS: The newly developed color-display 3-dimensional wavelet transform system showed good time-frequency resolution in analyzing every single beat without signal-averaging. The analysis could be used to detect arrhythmogenic substrates in patients with HCM.

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Year:  2006        PMID: 16377927     DOI: 10.1253/circj.70.69

Source DB:  PubMed          Journal:  Circ J        ISSN: 1346-9843            Impact factor:   2.993


  3 in total

1.  P-Wave Beat-to-Beat Analysis to Predict Atrial Fibrillation Recurrence after Catheter Ablation.

Authors:  Dimitrios Tachmatzidis; Anastasios Tsarouchas; Dimitrios Mouselimis; Dimitrios Filos; Antonios P Antoniadis; Dimitrios N Lysitsas; Nikolaos Mezilis; Antigoni Sakellaropoulou; Georgios Giannopoulos; Constantinos Bakogiannis; Konstantinos Triantafyllou; Nikolaos Fragakis; Konstantinos P Letsas; Dimitrios Asvestas; Michael Efremidis; Charalampos Lazaridis; Ioanna Chouvarda; Vassilios P Vassilikos
Journal:  Diagnostics (Basel)       Date:  2022-03-28

2.  Discriminant analysis between myocardial infarction patients and healthy subjects using wavelet transformed signal averaged electrocardiogram and probabilistic neural network.

Authors:  Ahmad Keshtkar; Hadi Seyedarabi; Peyman Sheikhzadeh; Seyed Hossein Rasta
Journal:  J Med Signals Sens       Date:  2013-10

3.  Quantitative spectral assessment of intracardiac electrogram characteristics associated with post infarct fibrosis and ventricular tachycardia.

Authors:  John Morellato; William Chik; M A Barry; Juntang Lu; Aravinda Thiagalingam; Pramesh Kovoor; Jim Pouliopoulos
Journal:  PLoS One       Date:  2018-10-05       Impact factor: 3.240

  3 in total

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