Application of Weighted Least Squares to Calibrate a Digital System for Measuring the Respiratory Pressures

Abstract

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.