AIMC Topic: Capnography

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Noninvasive estimation of PaCO from volumetric capnography in animals with injured lungs: an Artificial Intelligence approach.

Journal of clinical monitoring and computing Dec 26, 2024
To investigate the feasibility of non-invasively estimating the arterial partial pressure of carbon dioxide (PaCO) using a computational Adaptive Neuro-Fuzzy Inference System (ANFIS) model fed by noninvasive volumetric capnography (VCap) parameters. ...
Swine Fuzzy Logic Monitoring, Physiologic Respiration, Artificial Lung Lung Injury Partial Pressure Capnography Feasibility Studies Carbon Dioxide Positive-Pressure Respiration Artificial Intelligence Reproducibility of Results Animals Algorithms
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Prediction of intraoperative hypotension using deep learning models based on non-invasive monitoring devices.

Journal of clinical monitoring and computing Aug 19, 2024
PURPOSE: Intraoperative hypotension is associated with adverse outcomes. Predicting and proactively managing hypotension can reduce its incidence. Previously, hypotension prediction algorithms using artificial intelligence were developed for invasive...
Middle Aged Deep Learning Monitoring, Intraoperative Adult Male Electrocardiography Blood Pressure Determination Blood Pressure ROC Curve Photoplethysmography Algorithms Databases, Factual Reproducibility of Results Aged Female Capnography Humans Artificial Intelligence Intraoperative Complications Area Under Curve Consciousness Monitors Hypotension Blood Pressure Monitors
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Diagnosis and Severity Assessment of COPD Using a Novel Fast-Response Capnometer and Interpretable Machine Learning.

COPD Apr 24, 2024
INTRODUCTION: Spirometry is the gold standard for COPD diagnosis and severity determination, but is technique-dependent, nonspecific, and requires administration by a trained healthcare professional. There is a need for a fast, reliable, and precise ...
Area Under Curve Forced Expiratory Volume Capnography Spirometry Case-Control Studies Logistic Models Predictive Value of Tests Humans Middle Aged Severity of Illness Index Machine Learning Pulmonary Disease, Chronic Obstructive Algorithms Sensitivity and Specificity Male Female Aged
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A machine learning algorithm for detecting abnormal patterns in continuous capnography and pulse oximetry monitoring.

Journal of clinical monitoring and computing Apr 15, 2024
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 deteri...
Capnography Artifacts Oximetry Humans Male Middle Aged Signal Processing, Computer-Assisted Analgesics, Opioid Monitoring, Physiologic Prospective Studies Machine Learning Female Algorithms Reproducibility of Results
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Deep learning classification of capnography waveforms: secondary analysis of the PRODIGY study.

Journal of clinical monitoring and computing May 13, 2023
Capnography monitors trigger high priority 'no breath' alarms when CO measurements do not exceed a given threshold over a specified time-period. False alarms occur when the underlying breathing pattern is stable, but the alarm is triggered when the C...
Respiration Capnography Humans Hospitals Deep Learning Carbon Dioxide
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CapNet: A Deep Learning-based Framework for Estimation of Capnograph Signal from PPG.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2022
Ambulatory respiration signal extraction system is required to maintain continuous surveillance of a patient with respiratory deficiency. The capnograph signal has received a lot of attention in recent years as a valuable indicator of respiratory con...
Capnography Photoplethysmography Humans Signal Processing, Computer-Assisted Deep Learning Respiratory Rate
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