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A Surface ECG-Based Algorithm to Determine the Atrial Refractoriness of Rodents During Electrophysiological Study

机译:基于表面心电图的电生理研究过程中确定啮齿动物心房耐火度的算法

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Data regarding the atrial electrophysiology of rodents is hard to obtain. We hypothesized that the latency to the first R following programmed S1-S2 stimulation of the atria (defined as RR_(S2)) is affected by atrial capture and may be utilized to determine the atrial refractoriness of rodents using a simple electrocardiogram (ECG)-based algorithm. ECG signals during programmed-stimulation protocols were evaluated in 24 anesthetized rats and 12 mice using an automated QRS detection program. In each S1-S2 stimulation the atrial capture was determined in the invasive recording and the RR_(S2) was determined independently in the ECG recording. Based on our hypothesis an algorithm was designed to determine atrial capture noninvasively and 95% confidence interval (95% CI) was calculated for the obtained specificity and sensitivity. In rats the ratio between RR_(S2) and the spontaneous RR interval (RR_(spon)) could identify two decision-relevant ranges: RR_(S2)/RR_(spon) < 1.025 and RR_(S2)/RR_(spon) > 1.113; both indicated capture of S2. In contrast, RR_(S2)/RR_(spon) between these values indicated failure of atrial capture. This algorithm reached sensitivity of 97.7% (95% CI 96.0-99.4%) and specificity of 96.8% (95% CI 94.8-98.8%). Following rapid atrial pacing the same algorithm reached sensitivity of 94.96% (95% CI 92.0-97.9%) and specificity of 99% (95% CI 97.7-100%). In mice, difficulties in QRS detection were encountered which somewhat limited the ECG analysis. Our results indicate that atrial electrical capture affects the latency to the first R following S1-S2 stimulation in a predictable manner. This finding may advance the ability to detect the atrial refractoriness of rodents using a simple, minimally invasive, experimental setting.
机译:关于啮齿动物的心房电生理的数据很难获得。我们假设,对心房进行编程的S1-S2刺激(定义为RR_(S2))后对第一个R的潜伏期受到心房捕获的影响,并且可以利用简单的心电图(ECG)来确定啮齿动物的心房不应性。基于算法。使用自动QRS检测程序在24只麻醉的大鼠和12只小鼠中评估了程序刺激方案期间的ECG信号。在每次S1-S2刺激中,在有创记录中确定心房捕获,在ECG记录中独立确定RR_(S2)。基于我们的假设,设计了一种算法来无创地确定心房捕获,并针对获得的特异性和敏感性计算出95%的置信区间(95%CI)。在大鼠中,RR_(S2)与自发RR间隔(RR_(spon))之比可以确定两个与决策相关的范围:RR_(S2)/ RR_(spon)<1.025和RR_(S2)/ RR_(spon)> 1.113;两者均表明捕获了S2。相反,这些值之间的RR_(S2)/ RR_(spon)表示心房捕获失败。该算法的灵敏度为97.7%(95%CI 96.0-99.4%),特异性为96.8%(95%CI 94.8-98.8%)。快速心房起搏后,相同的算法达到了94.96%(95%CI 92.0-97.9%)的敏感性和99%(95%CI 97.7-100%)的特异性。在小鼠中,遇到QRS检测困难,这在一定程度上限制了ECG分析。我们的结果表明,心房电捕获以可预测的方式影响S1-S2刺激后至第一个R的潜伏期。这一发现可能会提高使用简单,微创的实验环境检测啮齿类动物房性的能力。

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