Fearnot N E, Evans M L
Hillenbrand Biomedical Engineering Center, Purdue University, West Lafayette, Indiana.
Pacing Clin Electrophysiol. 1988 Nov;11(11 Pt 2):1846-52. doi: 10.1111/j.1540-8159.1988.tb06319.x.
A temperature-based algorithm to produce pacing rate that resembles chronotropic response to activity was developed. Measurement criteria for the algorithm included workload dependent rate increases with activity and response time within 60 seconds of exercise onset. To evaluate the algorithm, right ventricular blood temperature was recorded during rest and treadmill exercise in 25 patients with implanted Kelvin 500 pacemakers (Cook Pacemaker). Patients included 16 males and nine females, ages 44-81 (mean 72). Indications for pacing were sinus node disease, atrioventricular block and atrial fibrillation with slow ventricular response. Temperature changes reflected physical activity as well as emotional stress. The algorithm was based on the rate of change (dT/dt), the relative change (delta T) and the baseline history (T) of temperature. At exercise onset, a rapid, brief drop in temperature (dT/dt) typically occurred due to peripheral vasodilation, causing prompt increase in pacing rate. As exercise continued, the increase in metabolic rate caused dT/dt as well as delta T to increase, further increasing pacing rate. After exercise, temperature returned to resting level which correspondingly decreased the pacing rate. Sensitivity of the algorithm to temperature variations, and the upper and lower pacing rate limits were programmable to adapt to individual patient needs. The rates produced by the algorithm mimicked intrinsic rate response for various activity levels and produced a mean response time of 16 seconds from exercise onset. Previous exercise had no significant effect on response time. Correlation between normal chronotropic response and simulated pacing rate from five exercise tests was 0.92. These results show good specificity and refute the statement that blood temperature yields a slow response.
开发了一种基于温度的算法来产生起搏频率,该频率类似于对活动的变时性反应。该算法的测量标准包括随着活动而与工作量相关的频率增加以及运动开始后60秒内的反应时间。为了评估该算法,在25例植入了开尔文500型起搏器(库克起搏器)的患者休息和跑步机运动期间记录右心室血温。患者包括16名男性和9名女性,年龄44 - 81岁(平均72岁)。起搏适应症为窦房结疾病、房室传导阻滞和伴有缓慢心室反应的心房颤动。温度变化反映了身体活动以及情绪应激。该算法基于温度的变化率(dT/dt)、相对变化(ΔT)和基线历史(T)。在运动开始时,由于外周血管扩张,通常会出现温度快速、短暂下降(dT/dt),导致起搏频率迅速增加。随着运动持续,代谢率增加导致dT/dt以及ΔT增加,进一步增加起搏频率。运动后,温度恢复到静息水平,相应地降低了起搏频率。该算法对温度变化的敏感性以及起搏频率的上限和下限是可编程的,以适应个体患者的需求。该算法产生的频率模拟了各种活动水平下的固有频率反应,从运动开始起平均反应时间为16秒。先前的运动对反应时间没有显著影响。五次运动测试中正常变时性反应与模拟起搏频率之间的相关性为0.92。这些结果显示出良好的特异性,并反驳了血温产生缓慢反应的说法。