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使用基于温度的速率自适应算法的计算机模拟来评估跑步机运动时的起搏速率响应。

Evaluation of the pacing rate response to treadmill exercise using computer simulation of a temperature-based, rate-adaptive algorithm.

作者信息

Evans M L, Fearnot N E

机构信息

MED Institute, Inc. West Lafayette, IN 47906.

出版信息

Med Instrum. 1988 Aug;22(4):182-8.

PMID:3173171
Abstract

A temperature-based, rate-adaptive, pacing algorithm was developed to benefit the patient. Rate-adaptive pacemakers use a physiologic parameter to identify the need for increased pacing rate. Parameters that have been clinically investigated include venous pH, Q-T interval, respiration, body motion, and blood temperature. The objective of this study was to provide pacing rates resembling normal heart rates in response to various levels and types of activity. A rapid response time (within 30 s of exercise onset) was also sought. Blood temperature, which reflects metabolic activity of all regions, was selected as the physiologic parameter. Right ventricular blood temperature was recorded in 25 patients with implanted Kelvin 500 pacemakers (Cook Pacemaker) during rest and treadmill exercise. The patient population included 16 men and 9 women, age 44-81 years (mean = 72). Indications for pacing were sinus node disease, atrioventricular block, and atrial fibrillation with slow ventricular response. The temperature changed with physical activity and emotional stress. Temperature typically dropped briefly at exercise onset, increased with continued exercise, and returned to the resting level after exercise. These components were employed in developing the temperature-based rate-adaptive algorithm, which was designed to use the rate of temperature change (dT/dt), temperature change (delta T), and baseline temperature (T). The temperature profiles were used to produce simulated pacing rates as determined by the algorithm. The drop in temperature at onset of activity was utilized to provide a rapid increase in pacing rate. As dT/dt became positive and delta T increased, pacing rate was further increased.(ABSTRACT TRUNCATED AT 250 WORDS)

摘要

为了使患者受益,研发了一种基于温度、速率自适应的起搏算法。速率自适应起搏器利用生理参数来识别是否需要提高起搏速率。临床上已研究的参数包括静脉血pH值、Q-T间期、呼吸、身体运动和体温。本研究的目的是在应对各种活动水平和类型时,提供类似于正常心率的起搏速率。还寻求快速的响应时间(运动开始后30秒内)。反映所有区域代谢活动的体温被选为生理参数。在25例植入开尔文500起搏器(库克起搏器)的患者休息及跑步机运动期间,记录右心室血温。患者群体包括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、房室传导阻滞以及伴有缓慢心室反应的心房颤动。温度随身体活动和情绪应激而变化。温度通常在运动开始时短暂下降,随着持续运动而升高,并在运动后恢复到静息水平。这些因素被用于开发基于温度的速率自适应算法,该算法旨在利用温度变化率(dT/dt)、温度变化量(ΔT)和基线温度(T)。温度曲线用于生成由该算法确定的模拟起搏速率。利用活动开始时的温度下降来使起搏速率快速增加。随着dT/dt变为正值且ΔT增加,起搏速率进一步提高。(摘要截短于250字)

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Evaluation of the pacing rate response to treadmill exercise using computer simulation of a temperature-based, rate-adaptive algorithm.使用基于温度的速率自适应算法的计算机模拟来评估跑步机运动时的起搏速率响应。
Med Instrum. 1988 Aug;22(4):182-8.
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