Improved calibration method of respiratory belts by extension of multiple linear regression

T.M. Seppänen, O-P Alho, M. Koskinen, T. Seppänen

Research output: Contribution to journalArticleScientificpeer-review

5 Citations (Scopus)

Abstract

Respiratory belts are widely used for ventilation monitoring. After calibration they can be used quantitatively to measure breathing volume and flow. This study provides an improved calibration method for respiratory belt signals. An optimized FIR (finite impulse response) filter bank was constructed as a MISO system (multiple input, single output) between the respiratory belts and spirometer. First-order and second-order polynomials with cross-terms were tested in the transfer function. Six subjects were measured with two respiratory belts (piezo and inductive) at the same time. Results show that R2 value increased (piezo belts: 9%, inductive belts: 10%) and RMSE (root mean square error) decreased greatly (piezo belts: 36%, inductive belts: 43%) compared to the golden standard calibration method. It is concluded that the new method improves greatly the accuracy of calibration of respiratory belts.

Original languageEnglish
Pages (from-to)161-164
Number of pages4
JournalINTERNATIONAL FEDERATION FOR MEDICAL AND BIOLOGICAL ENGINEERING PROCEEDINGS
Volume37
DOIs
Publication statusPublished - 2011
MoE publication typeA1 Journal article-refereed

Keywords

  • calibration
  • regression
  • respiration
  • respiratory belts
  • spirometer

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