Article

A Machine Learning Algorithm for Detecting Abnormal Patterns in Continuous Capnography and Pulse Oximetry Monitoring

2023-11-17

Abstract excerpt

<h4>Purpose: </h4> Continuous capnography monitors patient ventilation but can be susceptible to artifact, resulting in alarm fatigue. Development of smart algorithms may facilitate accurate detection of abnormal ventilation, allowing intervention before patient deterioration. The objective of this analysis was to use machine learning (ML) to classify combined waveforms of continuous capnography and pulse oximetry...

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Literature Corpus work: 414318b8-555e-5b4e-94a4-e6362a020624
DOI: 10.21203/rs.3.rs-3588516/v1

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