对临床上重要的心脏参量,诸如心输出量,及搏出量的热稀释法测定。易受到各种误差源的影响,通常在肺动脉中发现的温度升降(热噪声)构成了这些误差源之一。为了改善热稀释流动测定法的信噪比值,而不增加信号水平,本文作者调查研究了为减少热噪声功率而设计的四种信号处理方法。他们将减噪方法应用于热噪声数据,此数据包括在一个模拟循环中获得的模拟热稀释测定曲线。他们还将由算法获得的曲面估计的准确性与再现性同通过热信号致量积分获得的面积估计的准确性与再现性进行了比较。得出的结果表明,带通(BP)积分技术与噪声消除器相结合可以改善热稀释曲面估计的再现性与准确性。BP积分技术改善了心输 Clinically important cardiac parameters, such as cardiac output, and stroke volume thermodilution assay. Vulnerable to various sources of error, the temperature rise (thermal noise) commonly found in pulmonary arteries constitutes one of these sources of error. In order to improve the signal to noise ratio of the thermophilic flow assay without increasing the signal level, the authors investigated and investigated four signal processing methods designed to reduce thermal noise power. They applied the noise reduction method to thermal noise data, which includes the simulated thermodilution curve obtained in a simulation cycle. They also compared the accuracy and reproducibility of the surface estimates obtained by the algorithm with the accuracy and reproducibility of the area estimates obtained by the thermal signal induced integration. The results obtained show that the combination of bandpass (BP) integration with a noise canceller can improve the reproducibility and accuracy of the thermal dilution surface estimation. BP integration improves heart failure