Calibration of pneumotachographs using a calibrated syringe
Calibration of pneumotachographs using a calibrated syringe
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DOI：
10.1152/japplphysiol.00196.2003
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发表时间：
2003-08-01
影响因子：
3.3
通讯作者：
Baker, AB
中科院分区：
文献类型：
--
作者：
Tang, YQ;Turner, MJ;Baker, AB
呼吸速度计需要经常校准。恒流方法允许导出多项式校准曲线，但耗时。迭代注射器冲程技术是适度有效的，但在不连续的电导阵列的结果。本研究调查了一阶，二阶和三阶多项式校准曲线的推导，从6到50冲程的校准注射器。我们使用多元线性回归从两组6 - 50次注射器冲程中推导出一阶、二阶和三阶多项式系数。在A部分中，峰值流量未超过呼吸速度描记器的规定线性范围，而在B部分中，流量峰值为最大线性范围的160%。电导阵列来自相同的数据集，通过使用公布的算法。通过使用多项式和电导阵列来计算校准冲程以及70个验证冲程（部分A）和140个验证冲程（部分B）的单独组的体积误差。二阶和三阶多项式从10个校准中风获得的体积变异性等于或优于电导阵列从50中风。我们发现，使用校准注射器冲程的电导阵列的评价产生虚假的低体积方差。我们的结论是，准确的多项式曲线可以从少至10注射器冲程，和新的多项式校准方法是更有效的时间比以前公布的电导方法。
Pneumotachographs require frequent calibration. Constant-flow methods allow polynomial calibration curves to be derived but are time consuming. The iterative syringe stroke technique is moderately efficient but results in discontinuous conductance arrays. This study investigated the derivation of first-, second-, and third-order polynomial calibration curves from 6 to 50 strokes of a calibration syringe. We used multiple linear regression to derive first-, second-, and third-order polynomial coefficients from two sets of 6 - 50 syringe strokes. In part A, peak flows did not exceed the specified linear range of the pneumotachograph, whereas flows in part B peaked at 160% of the maximum linear range. Conductance arrays were derived from the same data sets by using a published algorithm. Volume errors of the calibration strokes and of separate sets of 70 validation strokes ( part A) and 140 validation strokes ( part B) were calculated by using the polynomials and conductance arrays. Second- and third-order polynomials derived from 10 calibration strokes achieved volume variability equal to or better than conductance arrays derived from 50 strokes. We found that evaluation of conductance arrays using the calibration syringe strokes yields falsely low volume variances. We conclude that accurate polynomial curves can be derived from as few as 10 syringe strokes, and the new polynomial calibration method is substantially more time efficient than previously published conductance methods.