Meeson S, Blott B H, Killingback A L
Department of Physics, University of Southampton, UK.
Physiol Meas. 1996 Nov;17 Suppl 4A:A33-8. doi: 10.1088/0967-3334/17/4a/006.
In the clinical environment the reliable interpretation of EIT images depends on the quality of the data. In the electrically noisy hospital environment the system performance needs to be assessed for each clinical investigation. From the model of noise presented, a figure of merit for comparisons of system performance with a known standard, or with previous studies, can be generated. The method depends on calculating the variances of the differences in reciprocity measurements as a function of the distance between the current drive electrodes and the receive voltage electrodes. These measurements fit the noise model, with minimal interference from physiological variability, and permit a figure of merit to be calculated which is a representation of the noise at the point to the system. Typical figures of merit are 7.36 +/- 0.03 microV for a test card and 10.50 +/- 16 microV for subject data.
在临床环境中，电阻抗断层成像（EIT）图像的可靠解读取决于数据质量。在存在电噪声的医院环境中，每次临床检查都需要评估系统性能。根据所呈现的噪声模型，可以生成一个用于将系统性能与已知标准或先前研究进行比较的品质因数。该方法依赖于计算互易测量中差异的方差，作为电流驱动电极与接收电压电极之间距离的函数。这些测量符合噪声模型，受生理变异性的干扰最小，并允许计算一个品质因数，该品质因数代表系统该点处的噪声。测试卡的典型品质因数为7.36±0.03微伏，受试者数据的典型品质因数为10.50±16微伏。
