Algorithmic errors of lung function test analysis.

G Bogányi

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PubMed · 3434309

Algorithmic errors of lung function test analysis.

G Bogányi

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Abstract

Nowadays lung function parameters will be determined by digital data processing algorithms. Minimal sampling frequency characterizing analogue-digital convertion is given by Shannon's law. Integration is a typical operation in data processing. The dynamical errors of generally used integration algorithms are much influenced by the sampling frequency. Theoretical examinations show unambiguously that using Simpson's rule the condition 6fsignal less than or equal to fsample has to be fulfilled to keep the amplitude error of integration lower than 1%. This means that sampling frequency will be determined by both the signal's spectrum and the structure of the data processing system.

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Algorithms Humans Respiratory Function Tests Signal Processing, Computer-Assisted Journal Article

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G Bogányi. 1987. Algorithmic errors of lung function test analysis.. https://pubmed.ncbi.nlm.nih.gov/3434309/

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