Computer-assisted capnogram analysis.

H R van Genderingen; N Gravenstein; J J van der Aa; J S Gravenstein

doi:10.1007/bf01695944

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Computer-assisted capnogram analysis.

H R van Genderingen·N Gravenstein·J J van der Aa·J S Gravenstein

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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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Algorithms Anesthesia, General Carbon Dioxide Computers Humans Microcomputers Minicomputers Ventilators, Mechanical Journal Article Research Support, Non-U.S. Gov't

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H R van Genderingen, N Gravenstein, J J van der Aa, J S Gravenstein. 1987. Computer-assisted capnogram analysis.. https://doi.org/10.1007/bf01695944

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