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. 2023 Jun 1;13(3):291-296.
doi: 10.31661/jbpe.v0i0.1038. eCollection 2023 Jun.

Conceptual Design of a Device for Online Calibration of Spirometer Based on Neural Network

Vahid Reza Nafisi  1 , Manouchehr Eghbal  1 , Nasim Torbati  2
Affiliations

Conceptual Design of a Device for Online Calibration of Spirometer Based on Neural Network

Vahid Reza Nafisi et al. J Biomed Phys Eng. .

Abstract

Daily calibration of spirometry devices plays an important role in promoting the accuracy of pulmonary diagnostic results. It is needed to have more precise and adequate instruments for calibrating spirometry during the clinical use. In this work, a device was designed and developed based on a calibrated-volume syringe and an electrical circuit was also built to measure the air flux. Some colored tapes with specific size and order covered the syringe piston. When the piston moved in front of the color sensor, the input air flow was calculated according to the width of the strips and transferred to the computer. A Radial Basis Function (RBF) neural network estimator used new data to modify the previous estimation function for increasing the accuracy and the reliability. The simulation showed that the root mean square of the error improved from 13.7±0.37% to 4.2±0.22%, i.e. the calibration curve has improved about 70%.

Keywords: Artificial Intelligence; Calibration; Color Sensor; Neural Network Model; Spirometry.

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Conflict of interest statement

None

Figures

Figure 1
Figure 1
Block diagram of the device
Figure 2
Figure 2
Block diagram of color sensor
Figure 3
Figure 3
Measured flow by the calibration device
See this image and copyright information in PMC

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