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Computer-assisted capnogram analysis.

Authors
  • van Genderingen, H R
  • Gravenstein, N
  • van der Aa, J J
  • Gravenstein, J S
Type
Published Article
Journal
Journal of clinical monitoring
Publication Date
Jul 01, 1987
Volume
3
Issue
3
Pages
194–200
Identifiers
PMID: 3112319
Source
Medline
License
Unknown

Abstract

Characteristic abnormal carbon dioxide waveforms from patients with mechanically ventilated lungs are observed when, for example, valves are incompetent, the airway is obstructed, the breathing circuit becomes disconnected, or a patient overrides mechanical ventilation with spontaneous breaths. Automated observation of the carbon dioxide waveform provides a uniform, concise, and consistent interpretation of the capnogram. This article describes a computer algorithm for analyzing and classifying capnograms as normal or as belonging to one of the categories above. The algorithm also generates a diagnostic message when the capnogram deviates from a learned norm for at least three consecutive waveforms (and thus reduces the influence of artifacts). Clinical experience shows reliable waveform recognition by the algorithm.

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