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An algorithm for verifying biventricular capture based on evoked-response morphology.

机译:一种基于诱发反应形态的心室捕获验证算法。

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Cardiac resynchronization therapy relies on consistent beat-by-beat myocardial capture in both ventricles. A pacemaker ensuring right (RV) and left ventricular (LV) capture through reliable capture verification and automatic output adjustment would contribute to patients' safety and quality of life. We studied the feasibility of an algorithm based on evoked-response (ER) morphology for capture verification in both the ventricles. RV and LV ER signals were recorded in 20 patients (mean age 72.5 years, range 64.3-80.4 years, 4 females and 16 males) during implantation of biventricular (BiV) pacing systems. Leads of several manufacturers were tested. Pacing and intracardiac electrogram (IEGM) recording were performed using an external pulse generator. IEGM and surface-lead electrocardiogram (ECG) signals were recorded under different pacing conditions for 10 seconds each: RV pacing only, LV pacing only, and BiV pacing with several interventricular delays. Based on morphology characteristics, ERs were classified manually for capture and failure to capture, and the validity of the classification was assessed by reference to the ECG. A total of 3,401 LV- and 3,345 RV-paced events were examined. In the RV and LV, the sensitivities of the algorithm were 95.6% and 96.1% in the RV and LV, respectively, and the corresponding specificities were 91.4% and 95.2%, respectively. The lower sensitivity in the RV was attributed to signal blanking in both channels during BiV pacing with a nonzero interventricular delay. The analysis revealed that the algorithm for identifying capture and failure to capture based on the ER-signal morphology was safe and effective in each ventricle with all leads tested in the study.
机译:心脏再同步治疗依赖于两个心室中一致的逐搏心肌捕获。通过可靠的捕获验证和自动输出调整来确保右(RV)和左心室(LV)捕获的起搏器将有助于患者的安全和生活质量。我们研究了基于诱发反应(ER)形态的算法在两个心室中进行捕获验证的可行性。在双心室(BiV)起搏系统植入过程中,记录了20例患者(平均年龄72.5岁,范围64.3-80.4岁,女性4例,男性16例)的RV和LV ER信号。测试了多个制造商的引线。使用外部脉冲发生器进行起搏和心内电描记图(IEGM)记录。 IEGM和表面导联心电图(ECG)信号在不同的起搏条件下分别记录10秒:仅RV起搏,仅LV起搏和BiV起搏,并伴有几次心室延迟。根据形态特征,对ER进行手动分类以捕获和捕获失败,并参考ECG评估分类的有效性。总共检查了3,401例LV发作和3,345例RV发作事件。在RV和LV中,该算法在RV和LV中的敏感性分别为95.6%和96.1%,相应的特异性分别为91.4%和95.2%。 RV的较低敏感性归因于BiV起搏期间心室延迟不为零的两个通道中的信号消隐。分析表明,基于ER信号形态的识别捕获和捕获失败的算法在每个心室中都是安全有效的,并且在研究中测试了所有导线。

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