Performance Analysis and Uncertainty Evaluation of in Vitro Coagulation Test Sensors

doi:10.3901/JME.2022.12.018

Abstract

Abstract: As conventional sensor calibration is not a satisfying solution for practical issues such as performance analysis of in vitro coagulation test sensors, an approach to performance analysis and uncertainty evaluation of in vitro coagulation test sensors is established. According to operation principle and structural characteristics of in vitro coagulation test sensors, static characteristic analysis of coagulation test sensors with a chromatic confocal displacement sensor is carried out. In addition, it conducted displacement calibration by the aid of a five-axis precision machine tool, construction of measuring equipment, in which axes of motion, measurement and sensing were collinear, and online calibration of sensor performance parameters through high-order curve fitting equations. In accordance with error accuracy theory, it analyzed and evaluated uncertainties of sensor errors, sensor installation errors and upper source tracing etc. By this approach, performance analysis and uncertainty evaluation of in vitro coagulation test sensors were carried out. Its calibration results indicated that sensitivity, delay, linearity and repeatability of the sensors were, respectively, 0.659 V/μm, 4.88%, 0.002 5% rising from 0.007 6%, and 0.003 3%. According to calculation, the uncertainty of synthetic measurement is 0.84 μm, which is less than ±1μm, the permissible error of frequency response characteristic indexes of in vitro coagulation test sensors. Therefore, the accuracy of this measuring system built can ensure that of in vitro coagulation tests. It is verified that the established approach to performance analysis and uncertainty evaluation of in vitro coagulation test sensors can meet demands of sensor accuracy analysis and provides core technology to improve development process of this type of sensor.

Key words: coagulation test, sensors, curve fitting, performance analysis, uncertainties

CLC Number:

TH165

WANG Zhe, LI Xiao, CHEN Qimeng, ZHAO Zizhao, MENG Xiangkai, YU Yuanhua. Performance Analysis and Uncertainty Evaluation of in Vitro Coagulation Test Sensors[J]. Journal of Mechanical Engineering, 2022, 58(12): 18-28.

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