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首页> 外文期刊>Journal of cardiovascular electrophysiology >Advanced rhythm discrimination for implantable cardioverter defibrillators using electrogram vector timing and correlation.
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Advanced rhythm discrimination for implantable cardioverter defibrillators using electrogram vector timing and correlation.

机译:使用电描记图矢量计时和相关性,对植入式心脏复律除颤器进行高级节律识别。

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INTRODUCTION: Discrimination of ventricular and supraventricular arrhythmias remains one of the major challenges for appropriate implantable defibrillator (ICD) therapy delivery. The electrogram vector timing and correlation (VTC) algorithm was developed for such rhythm discrimination. The VTC algorithm differentiates normally conducted supraventricular beats from abnormally conducted ventricular beats by comparing the timing and correlation of rate and shock channel electrograms. METHODS AND RESULTS: Rate and shock channel electrograms of sinus rhythm and induced arrhythmias were collected from 93 patients during ICD placement. The algorithm was developed using data from 50 patients and prospectively tested in a software model with the remaining 43 patients. A sinus rhythm reference was formed by averaging complexes of the shock channel signal aligned by the peak amplitude of the rate channel. Eight features measuring the amplitude and timing of shock channel signal characteristics were extracted from the reference for comparison. When a high-rate rhythm was detected, the VTC algorithm computed the correlation of the arrhythmia complex features with the reference. Rhythms with a sufficient number of uncorrelated beats were classified as ventricular tachycardia (VT). In a dual-chamber implementation, the VTC algorithm is integrated with ventricular and atrial rate comparison (V>A) and stability above an atrial fibrillation rate threshold. The test set consisted of 117 arrhythmias. Dual-chamber sensitivity was 100% (81/81 VT) and specificity was 97% (35/36 supraventricular tachycardia). Single-chamber analysis demonstrated 99% sensitivity and 97% specificity. CONCLUSION: The VTC algorithm demonstrated high sensitivity and specificity in discriminating between ventricular and supraventricular arrhythmias.
机译:简介:区分室性和室上性心律失常仍然是适当植入式除颤器(ICD)疗法的主要挑战之一。开发了电图矢量定时和相关(VTC)算法来识别这种节奏。 VTC算法通过比较速率和电击通道电描记图的时间和相关性,将正常的室上搏动与异常的心室搏动区分开。方法和结果:收集93例ICD患者的窦性心律和诱发性心律不齐的速率和电击通道电图。该算法是使用来自50位患者的数据开发的,并在软件模型中对其余43位患者进行了前瞻性测试。通过平均由速率通道的峰值幅度对齐的冲击通道信号的复数,形成窦性心律参考。从参考中提取了测量冲击通道信号特性的幅度和定时的八个特征进行比较。当检测到高节律时,VTC算法会计算出心律失常复杂特征与参考的相关性。具有足够数量的不相关搏动的节律被归类为室性心动过速(VT)。在双腔室实现中,VTC算法与心室和心房率比较(V> A)以及房颤率阈值以上的稳定性集成在一起。测试集包括117个心律失常。双腔室敏感性为100%(81/81 VT),特异性为97%(35/36室上性心动过速)。单室分析显示出99%的灵敏度和97%的特异性。结论:VTC算法在区分室性和室上性心律失常方面具有很高的敏感性和特异性。

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