Nonlinear model for offline correction of pulmonary waveform generators

Pulmonary waveform generators consisting of motor-driven piston pumps are frequently used to test respiratory-function equipment such as spirometers and peak expiratory flow (PEF) meters. Gas compression within these generators can produce significant distortion of the output flow-time profile. A no...

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Bibliographic Details
Published in:IEEE transactions on biomedical engineering 2002-12, Vol.49 (12), p.1567-1573
Main Authors: Reynolds, J.S., Stemple, K.J., Petsko, R.A., Ebeling, T.R., Frazer, D.G.
Format: Article
Language:English
Subjects:
Adaptive algorithm
Biological and medical sciences
Calibration - standards
Computer Simulation
Diseases
Equipment Design
Equipment Failure Analysis - methods
Equipment Failure Analysis - standards
Generators
Mean square error methods
Mean square errors
Medical sciences
Models, Biological
Nonlinear distortion
Nonlinear Dynamics
Occupational safety
Peak Expiratory Flow Rate
Performance evaluation
Pistons
Reproducibility of Results
Respiratory Function Tests - instrumentation
Respiratory Function Tests - methods
Respiratory Function Tests - standards
Respiratory Mechanics
Sensitivity and Specificity
Signal generators
Spirometry - instrumentation
Spirometry - standards
Syringes - standards
System testing
United States
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Summary:Pulmonary waveform generators consisting of motor-driven piston pumps are frequently used to test respiratory-function equipment such as spirometers and peak expiratory flow (PEF) meters. Gas compression within these generators can produce significant distortion of the output flow-time profile. A nonlinear model of the generator was developed along with a method to compensate for gas compression when testing pulmonary function equipment. The model and correction procedure were tested on an Assess Full Range PEF meter and a Micro DiaryCard PEF meter. The tests were performed using the 26 American Thoracic Society standard flow-time waveforms as the target flow profiles. Without correction, the pump loaded with the higher resistance Assess meter resulted in ten waveforms having a mean square error (MSE) higher than 0.001 L/sup 2//s/sup 2/. Correction of the pump for these ten waveforms resulted in a mean decrease in MSE of 87.0%. When loaded with the Micro DiaryCard meter, the uncorrected pump outputs included six waveforms with MSE higher than 0.001 L/sup 2//s/sup 2/. Pump corrections for these six waveforms resulted in a mean decrease in MSE of 58.4%.
ISSN:0018-9294
1558-2531
DOI:10.1109/TBME.2002.805484