Comparison of GUM and Monte Carlo methods for evaluating measurement uncertainty of perspiration measurement systems |
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| Affiliation: | 1. Echolight Srl, Lecce, Italy;2. National Research Council, Institute of Clinical Physiology, Lecce, Italy;3. ENEA, Materials Technology Unit, Research Centre of Brindisi, Brindisi, Italy;1. Donlinks School of Economics and Management, University of Science and Technology Beijing, No. 30 Xueyuan Road, Haidian District, Beijing 100083, People’s Republic of China;2. School of Economics and Management, Tsinghua University, No. 30 Shuangqing Road, Haidian District, Beijing 100084, People’s Republic of China;3. Ocean College, Hebei Agricultural University, Hebei 071001, People’s Republic of China;1. Wrocław University of Technology, Faculty of Microsystem Electronics and Photonics, PL-50372 Wrocław, Poland;2. Princeton University, Department of Electrical Engineering, Engineering Quadrangle, 08544 NJ, United States;1. Key Laboratory for Organic Electronics and Information Displays & Institute of Advanced Materials (IAM), Jiangsu National Synergetic Innovation Center for Advanced Materials (SICAM), Nanjing University of Posts & Telecommunications, 9 Wenyuan Road, Nanjing 210023, China;2. College of Automation, Nanjing University of Posts and Telecommunications (NUPT), Nanjing 210023, China;3. Key Laboratory of Flexible Electronics (KLOFE) & Institute of Advanced Materials (IAM), Jiangsu National Synergetic Innovation Center for Advanced Materials (SICAM), Nanjing Tech University (NanjingTech), 30 South Puzhu Road, Nanjing 211816, China |
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| Abstract: | Measurement uncertainty is an important parameter to express measurement results including means and reliability. The uncertainty analysis of the biomedical measurement system needs to be established. A perspiration measurement system composed of several sensors was developed. We aim to estimate the measurement uncertainty of this system with several uncertainty sources, including airflow rate, air density, and inlet and outlet absolute humidity. Measurement uncertainty was evaluated and compared by the Guide to the expression of the uncertainty in measurement (GUM) method and Monte Carlo simulation. The standard uncertainty for the perspiration measurement system was 6.81 × 10−6 kg/s and the uncertainty percentage <10%. The major source of the uncertainty was airflow rate, and inlet and outlet absolute humidity. The Monte Carlo simulation could be executed easily with available spreadsheet software programs of the Microsoft Excel. GUM and Monte Carlo simulation did not differ in measurement uncertainty with precision to two decimal places. However, the sensitivity coefficient derived by GUM provided useful information to improve measurement performance, which was not evaluated with the Monte Carlo simulation method. |
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| Keywords: | Measurement uncertainty GUM Monte Carlo simulation Perspiration Nonlinear equation |
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