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自动阈值跟踪算法研究的临床经验。

Clinical experience with an automatic threshold tracking algorithm study.

作者信息

Kennergren Charles, Larsson Berit, Uhrenius Asa, Gadler Fredrik

机构信息

Department of Cardiothoracic Surgery, Sahlgrenska University Hospital, Göteborg, Sweden.

出版信息

Pacing Clin Electrophysiol. 2003 Dec;26(12):2219-24. doi: 10.1111/j.1540-8159.2003.00350.x.

Abstract

The automatic threshold tracking pacing system algorithm developed by St. Jude Medical, verifies ventricular capture beat by beat by recognizing the evoked response (ER) following each pacemaker stimulus. The present automatic threshold tracking function requires a bipolar ventricular lead with low polarization. The aim of this study was to evaluate a new algorithm developed to use with unipolar leads with different levels of polarization. An external pacemaker with the ability to sense intrinsic R waves and measure ER signals, as well as deliver stimulus, was used. An algorithm for detecting the true ER in a unipolar sensing configuration (tip-case) was developed. Based on the assumption that the true evoked R wave amplitude is independent of the stimulation amplitude, the algorithm calculates and subtracts the polarization present at any pacing stimulus from the measured ER. The resulting signal is analyzed to verify capture. This study comprises 35 patients of which 26 were new implants and 9 had chronic leads. The automatic threshold-tracking algorithm was calibrated for each patient and pacing was performed at different pulse amplitudes and pulse duration. Capture was verified for each paced beat. The recordings were stored for later comparison with the tape-recorded intracardiac heart signals. The new algorithm correctly verified capture or loss of capture for every single analyzed beat at the different pacing outputs in every individual patient. The results from this initial study suggests that the new ER detection principle will allow automatic threshold tracking to be used not only with low polarization bipolar leads but with most leads.

摘要

圣犹达医疗公司研发的自动阈值跟踪起搏系统算法,通过识别每次起搏器刺激后的诱发反应(ER),逐搏验证心室捕捉情况。目前的自动阈值跟踪功能需要使用低极化的双极心室导线。本研究的目的是评估一种新开发的算法,该算法可用于不同极化水平的单极导线。使用了一种具有感知固有R波、测量ER信号以及发放刺激能力的体外起搏器。开发了一种用于在单极感知配置(尖端-外壳)中检测真实ER的算法。基于真实诱发R波振幅与刺激振幅无关的假设,该算法从测量的ER中计算并减去任何起搏刺激时存在的极化。对所得信号进行分析以验证捕捉情况。本研究包括35名患者,其中26名是新植入患者,9名有慢性导线。对每位患者的自动阈值跟踪算法进行校准,并在不同的脉冲幅度和脉冲持续时间下进行起搏。对每个起搏搏动验证捕捉情况。记录存储起来以便日后与磁带记录的心内心脏信号进行比较。新算法在每位患者的不同起搏输出下,对每个分析的搏动都正确验证了捕捉或捕捉丧失情况。这项初步研究的结果表明,新的ER检测原理将使自动阈值跟踪不仅可用于低极化双极导线,还可用于大多数导线。

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