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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 …
Overview and clinical applications of artificial intelligence and machine learning in cardiac anesthesiology
Artificial intelligence-(AI) and machine learning (ML)-based applications are becoming
increasingly pervasive in the healthcare setting. This has in turn challenged clinicians …
increasingly pervasive in the healthcare setting. This has in turn challenged clinicians …
[HTML][HTML] Five commercial 'depth of anaesthesia'monitors provide discordant clinical recommendations in response to identical emergence-like EEG signals
Background 'Depth of anaesthesia'monitors claim to measure hypnotic depth during general
anaesthesia from the EEG, and clinicians could reasonably expect agreement between …
anaesthesia from the EEG, and clinicians could reasonably expect agreement between …
[HTML][HTML] EEG responses to standardised noxious stimulation during clinical anaesthesia: a pilot study
M Anders, B Anders, E Dreismickenbecker, D Hight… - BJA open, 2023 - Elsevier
Background During clinical anaesthesia, the administration of analgesics mostly relies on
empirical knowledge and observation of the patient's reactions to noxious stimuli. Previous …
empirical knowledge and observation of the patient's reactions to noxious stimuli. Previous …
[HTML][HTML] EEG-parameter-guided anesthesia for prevention of emergence delirium in children
Background: Emergence delirium (ED) usually occurs in children after surgery with an
incidence of 10− 80%. Though ED is mostly self-limited, its potential injuries cannot be …
incidence of 10− 80%. Though ED is mostly self-limited, its potential injuries cannot be …
Unwanted spontaneous responsiveness and burst suppression in patients undergoing entropy-guided total intravenous anesthesia with target-controlled infusion: An …
Study objective To estimate the incidence of unwanted spontaneous responsiveness and
burst suppression (BSupp) in patients undergoing state entropy (SE) and surgical pleth …
burst suppression (BSupp) in patients undergoing state entropy (SE) and surgical pleth …
Accurate depth of anesthesia monitoring based on EEG signal complexity and frequency features
T Li, Y Huang, P Wen, Y Li - Brain Informatics, 2024 - Springer
Accurate monitoring of the depth of anesthesia (DoA) is essential for ensuring patient safety
and effective anesthesia management. Existing methods, such as the Bispectral Index (BIS) …
and effective anesthesia management. Existing methods, such as the Bispectral Index (BIS) …