Empirical Investigation of Noise Reduction Filter for a Flow-Based Spirometer Accuracy Improvement

Abstract

A turbine spirometer with an IR rotary encoder is designed and fabricated for performing Respiratory Function Tests (RFT). The system includes a hardware for gathering breath inspiratory flow rate and a user software which represents analysed data of patients' breath flow and volume parameters in real-time. The purpose of the paper is evaluating the efficiency of three different types of digital noise reduction filters in term of increasing the accuracy of system in calculation of air volume passing through the spirometer turbine by use of data obtained by a flow sensor. Three distinct kinds of flow waves are experimented and the most sufficient filter for corresponding respiratory function tests are reported.

Keywords: spirometer, respiratory function test, noise reduction, IR encoder

DOI: 10.7176/CEIS/10-5-01

Publication date:June 30^th 2019