AIMC Topic: Consciousness Monitors

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Deep reinforcement learning for multi-targets propofol dosing.

Journal of clinical monitoring and computing Mar 6, 2025
The administration of propofol for sedation or general anesthesia presents challenges due to the complex relationship between patient factors and real-time physiological responses. This study explores the application of deep reinforcement learning (D...
Humans Algorithms Computer Simulation Deep Learning Propofol Heart Rate Arterial Pressure Respiratory Rate Reinforcement Machine Learning Consciousness Monitors Hypnotics and Sedatives Anesthesia, General Electroencephalography Anesthetics, Intravenous
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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...
Humans Intraoperative Complications Consciousness Monitors Blood Pressure Monitors Capnography Deep Learning Monitoring, Intraoperative ROC Curve Photoplethysmography Electrocardiography Reproducibility of Results Blood Pressure Determination Aged Blood Pressure Adult Area Under Curve Male Hypotension Middle Aged Artificial Intelligence Algorithms Databases, Factual Female
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Harnessing machine learning for EEG signal analysis: Innovations in depth of anaesthesia assessment.

Artificial intelligence in medicine Apr 4, 2024
Anaesthesia, crucial to surgical practice, is undergoing renewed scrutiny due to the integration of artificial intelligence in its medical use. The precise control over the temporary loss of consciousness is vital to ensure safe, pain-free procedures...
Electroencephalography Signal Processing, Computer-Assisted Anesthesia Consciousness Monitors Humans Machine Learning Algorithms
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Machine learning for a combined electroencephalographic anesthesia index to detect awareness under anesthesia.

PloS one Aug 26, 2020
Spontaneous electroencephalogram (EEG) and auditory evoked potentials (AEP) have been suggested to monitor the level of consciousness during anesthesia. As both signals reflect different neuronal pathways, a combination of parameters from both signal...
Consciousness Evoked Potentials, Auditory Consciousness Monitors Neural Networks, Computer Machine Learning Algorithms Monitoring, Intraoperative Support Vector Machine Monitoring, Physiologic Anesthesia, General Humans Electroencephalography Anesthetics, Intravenous
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Constructing a Consciousness Meter Based on the Combination of Non-Linear Measurements and Genetic Algorithm-Based Support Vector Machine.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society Jan 8, 2020
OBJECTIVE: Constructing a framework to evaluate consciousness is an important issue in neuroscience research and clinical practice. However, there is still no systematic framework for quantifying altered consciousness along the dimensions of both lev...
Consciousness Disorders Consciousness Monitors Coma Support Vector Machine Anesthesia, General Electroencephalography Healthy Volunteers Wakefulness Nonlinear Dynamics Consciousness Entropy Genetics Algorithms Female Reproducibility of Results Male Middle Aged Humans
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Novel drug-independent sedation level estimation based on machine learning of quantitative frontal electroencephalogram features in healthy volunteers.

British journal of anaesthesia Jul 18, 2019
BACKGROUND: Sedation indicators based on a single quantitative EEG (QEEG) feature have been criticised for their limited performance. We hypothesised that integration of multiple QEEG features into a single sedation-level estimator using a machine le...
Humans Wakefulness Anesthetics Frontal Lobe Consciousness Monitors Machine Learning Reproducibility of Results Electroencephalography Reference Values
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Use of Multiple EEG Features and Artificial Neural Network to Monitor the Depth of Anesthesia.

Sensors (Basel, Switzerland) May 31, 2019
The electroencephalogram (EEG) can reflect brain activity and contains abundant information of different anesthetic states of the brain. It has been widely used for monitoring depth of anesthesia (DoA). In this study, we propose a method that combine...
Middle Aged Adolescent Propofol Monitoring, Physiologic Electroencephalography Anesthesia Entropy Consciousness Monitors Algorithms Female Young Adult Adult Male Humans Neural Networks, Computer
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Improving the anesthetic process by a fuzzy rule based medical decision system.

Artificial intelligence in medicine Jan 5, 2018
OBJECTIVE: The main objective of this research is the design and implementation of a new fuzzy logic tool for automatic drug delivery in patients undergoing general anesthesia. The aim is to adjust the drug dose to the real patient needs using heuris...
Brain Waves Male Consciousness Monitors Middle Aged Time Factors Humans Intraoperative Neurophysiological Monitoring Decision Support Systems, Clinical Electroencephalography Decision Support Techniques Fuzzy Logic Signal Processing, Computer-Assisted Clinical Decision-Making Propofol Anesthetics, Intravenous Female Predictive Value of Tests Infusion Pumps Adult Infusions, Intravenous Anesthesia, Intravenous
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EEG artifacts reduction by multivariate empirical mode decomposition and multiscale entropy for monitoring depth of anaesthesia during surgery.

Medical & biological engineering & computing Dec 19, 2016
Electroencephalography (EEG) has been widely utilized to measure the depth of anaesthesia (DOA) during operation. However, the EEG signals are usually contaminated by artifacts which have a consequence on the measured DOA accuracy. In this study, an ...
Models, Statistical Pattern Recognition, Automated Computer Simulation Humans Data Interpretation, Statistical Reproducibility of Results Multivariate Analysis Electroencephalography Neural Networks, Computer Sensitivity and Specificity Entropy Artifacts Algorithms Intraoperative Neurophysiological Monitoring Consciousness Monitors Brain
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Black Box, Gray Box, Clear Box? How Well Must We Understand Monitoring Devices?

Anesthesia and analgesia Jun 1, 2021
Artificial Intelligence Algorithms Peer Review Monitoring, Intraoperative Electrocardiography Humans Consciousness Monitors
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