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Consciousness and complexity: a consilience of evidence
Over the last years, a surge of empirical studies converged on complexity-related measures
as reliable markers of consciousness across many different conditions, such as sleep …
as reliable markers of consciousness across many different conditions, such as sleep …
Length of stay prediction for ICU patients using individualized single classification algorithm
Abstract Background and Objective: In intensive care units (ICUs), length of stay (LOS)
prediction is critical to help doctors and nurses select appropriate treatment options and …
prediction is critical to help doctors and nurses select appropriate treatment options and …
Design and implementation of a machine learning based EEG processor for accurate estimation of depth of anesthesia
Accurate monitoring of the depth of anesthesia (DoA) is essential for intraoperative and
postoperative patient's health. Commercially available electroencephalograph (EEG)-based …
postoperative patient's health. Commercially available electroencephalograph (EEG)-based …
Time‐Frequency Analysis of EEG Signals and GLCM Features for Depth of Anesthesia Monitoring
SM Mousavi, A Asgharzadeh-Bonab… - Computational …, 2021 - Wiley Online Library
One of the important tasks in the operating room is monitoring the depth of anesthesia (DoA)
during surgery, and noninvasive techniques are very popular. Hence, we propose a new …
during surgery, and noninvasive techniques are very popular. Hence, we propose a new …
Harnessing machine learning for EEG signal analysis: Innovations in depth of anaesthesia assessment
T Schmierer, T Li, Y Li - Artificial Intelligence in Medicine, 2024 - Elsevier
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 …
integration of artificial intelligence in its medical use. The precise control over the temporary …
Monitoring level of hypnosis using stationary wavelet transform and singular value decomposition entropy with feedforward neural network
MI Dutt, W Saadeh - IEEE Transactions on Neural Systems and …, 2023 - ieeexplore.ieee.org
Classifying the patient's depth of anesthesia (LoH) level into a few distinct states may lead to
inappropriate drug administration. To tackle the problem, this paper presents a robust and …
inappropriate drug administration. To tackle the problem, this paper presents a robust and …
Constructing a consciousness meter based on the combination of non-linear measurements and genetic algorithm-based support vector machine
Objective: Constructing a framework to evaluate consciousness is an important issue in
neuroscience research and clinical practice. However, there is still no systematic framework …
neuroscience research and clinical practice. However, there is still no systematic framework …
Automated tracking of level of consciousness and delirium in critical illness using deep learning
Over-and under-sedation are common in the ICU, and contribute to poor ICU outcomes
including delirium. Behavioral assessments, such as Richmond Agitation-Sedation Scale …
including delirium. Behavioral assessments, such as Richmond Agitation-Sedation Scale …
A multilayer perceptron (MLP) regressor network for monitoring the depth of anesthesia
MI Dutt, W Saadeh - 2022 20th IEEE Interregional NEWCAS …, 2022 - ieeexplore.ieee.org
Monitoring the depth of anesthesia (DoA) during surgical procedures is very critical for
patients' health. Any inaccurate dosage of the anesthetic agents can result in postoperative …
patients' health. Any inaccurate dosage of the anesthetic agents can result in postoperative …
An EEG-based hypnotic state monitor for patients during general anesthesia
Most surgical procedures are not possible without general anesthesia which necessitates
continuous and accurate monitoring of the patients' level of hypnosis (LoH). Currently, the …
continuous and accurate monitoring of the patients' level of hypnosis (LoH). Currently, the …