Key result
Signature analysis (SIG) and unnormalized area of difference (AD) yielded similar misclassification rates for sinus and ventricular tachycardia as more computationally costly methods.
Why the study?
Does the signature analysis (SIG) algorithm accurately discriminate ventricular tachycardia from sinus tachycardia compared to other template matching algorithms?
Does the signature analysis (SIG) algorithm accurately discriminate ventricular tachycardia from sinus tachycardia compared to other template matching algorithms?
Signature analysis (SIG) and unnormalized area of difference (AD) provide similar discrimination of VT from ST compared to more computationally expensive methods, making them preferable for implantable cardioverter defibrillators to save battery charge.
Template matching algorithms have been shown to discriminate intraventricular electrograms of atrial and ventricular origin and may prove useful in implantable cardioverter defibrillators (ICDs). Those methods which normalize for amplitude and differentiate well require multiplications which are costly to ICD battery charge. Signature analysis (SIG) was developed which normalizes for amplitude and does not require multiplications. SIG was compared to correlation waveform analysis (CWA), amplitude normalized area of difference (NAD), and unnormalized area of difference (AD) for discrimination of ventricular tachycardia (VT) from sinus tachycardia (ST). After calculating prospective thresholds, the average percent depolarizations misclassified for ST and VT records, with/without baseline normalization (BN) were: CWA 9%/23%, NAD 11%/27%, SIG 13%/22%, and AD 12%/25%. Therefore, BN improved results markedly and, due to similar results, SIG or AD is preferable because of reduced computation.< <ETX xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">></ETX>
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Greenhut et al. (2003) studied Ventricular tachycardia and sinus tachycardia. Signature analysis (SIG) vs. Correlation waveform analysis (CWA), amplitude normalized area of difference (NAD), and unnormalized area of difference (AD) was evaluated on Average percent depolarizations misclassified for ST and VT records. Signature analysis (SIG) and unnormalized area of difference (AD) yielded similar misclassification rates for sinus and ventricular tachycardia as more computationally costly methods.
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