Application of Weighted Least Squares to Calibrate a Digital System for Measuring the Respiratory Pressures
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چکیده
This article presents the results associated to calibration and evaluation of the measurement uncertainty of a digital respiratory pressures measuring system developed at the Biomedical Engineering Research & Development Laboratory (NEPEB) of the Department of Electrical Engineering – UFMG. The proposed method uses the least squares weighted regression to establish the measurement model and to evaluate the uncertainty. The standard expanded uncertainty estimated by the model was 1.4 kPa.
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تاریخ انتشار 2008