Why the study?
Does the sequential hypothesis testing (SHT) algorithm correctly discriminate between SVT and VT signals for implantable defibrillators?
Does the sequential hypothesis testing (SHT) algorithm correctly discriminate between SVT and VT signals for implantable defibrillators?
The sequential hypothesis testing algorithm can effectively discriminate between SVT and VT signals, which is crucial for the accurate function of automatic implantable cardioverter/defibrillators.
Answers are grounded in this paper and cite their sources.
May improve SVT/VT discrimination in defibrillators; leaves open prospective validation before clinical adoption.
A previously published sequential hypothesis testing (SHT) algorithm (see Z. Yi-Sheng and N.V. Thakor, Proc. IEEE 19th Ann. Conf. Eng. Med. Biol. Soc., p.918-19, 1988) is extended to the problem of the discrimination of superventricular tachycardia (SVT) and ventricular tachycardia (VT) signals by an automatic implantable cardioverter/defibrillator. The SHT algorithm compares a likelihood function against the detection thresholds at successive 1-s stages. It allows the desired accuracy to be preset and attains higher accuracy levels only at the cost of increased detection time. The implementation of the algorithm and experimental results are described. The results show that the SHT algorithm correctly discriminates most cases of SVT and VT when the rates in the atrial and ventricular leads differ. When the rates are comparable the time delay between a beat in the atrial lead and the ventricular lead is determined. In the case of SVT the delay is always positive, whereas for VT with retrograde conduction it is zero or negative.< <ETX xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">></ETX>
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Kongyan et al. (2003) studied Supraventricular tachycardia (SVT) and ventricular tachycardia (VT). Sequential hypothesis testing (SHT) algorithm was evaluated on Discrimination of SVT and VT signals.
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