Physiologic monitoring decision support system combining capnometry and oxygen saturation

Abstract

A patient monitoring device includes a capnograph device (10) and a pulse oximeter (70). An electronic processor (84) is programmed to generate a capnography index (50) indicative of patient well-being from a capnogram measured by the capnograph device, and to generate an arterial blood oxygen saturation (SpO2) index (90) indicative of patient well-being from SpO2 (72) measured by the pulse oximeter. A patient safety index (92) is computed from the capnography index and the SpO2 index. One or more clinical warnings are determined based at least in part on the patient safety index. A display component (82) is configured to display at least one of the computed one or more clinical warnings.

Description

technical field [0001] The following generally relates to the field of capnography, the field of medical monitoring, and related fields. Background technique [0002] Capnography devices monitor the carbon dioxide (CO 2 ) concentration or partial pressure. Capnography is often used in conjunction with mechanically ventilated patients to assess respiratory status. Skilled anesthesiologists are usually able to evaluate capnograms (ie, CO as measured by capnography equipment) 2 Trendline) to assess respiratory health. [0003] Capnography is increasingly used as a more general vital sign for assessing patient health. For example, capnography can be used to monitor a patient who is breathing spontaneously and not undergoing mechanical ventilation using a lateral flow capnography device configuration in which breathing air is sampled via a nasal cannula in conjunction with a dedicated sampling pump. In these broader scenarios, medical personnel with limited expertise in anes...

AI Technical Summary

Problems solved by technology

[0005] Capnographic waveform analysis provides richer information from the capnogram, but requires complex processing such as detection of respiratory periods, amplitude and period normalization, and segmentation of the capnographic waveform into regions within each respiratory period

These complex analyzes introduce many possible error mechanisms, such as incorrect waveform segmentation or loss of information during normalization operations

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