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 …

[PDF][PDF] Machine learning-guided anesthesiology: A review of recent advances and clinical applications

S Hashemi, Z Yousefzadeh, AA Abin… - J. Cellular Mol …, 2024 - researchgate.net
Anesthesia is the process of inducing and experiencing various conditions, such as
painlessness, immobility, and amnesia, to facilitate surgeries and other medical procedures …

The EEG complexity, information integration and brain network changes in minimally conscious state patients during general anesthesia

Z Liang, Z Lan, Y Wang, Y Bai, J He… - Journal of Neural …, 2023 - iopscience.iop.org
Objective. General anesthesia (GA) can induce reversible loss of consciousness.
Nonetheless, the electroencephalography (EEG) characteristics of patients with minimally …

Discrimination of wakefulness from sleep stage I using nonlinear features of a single frontal EEG channel

M Shahbakhti, M Beiramvand, T Eigirdas… - IEEE Sensors …, 2022 - ieeexplore.ieee.org
Objective: Although a wide range of researches have shown the utility of
electroencephalography (EEG) for the sleep monitoring, the majority of them reported a low …

Wearable EEG-based depth of anesthesia monitoring: a non-parametric feature set

M Shahbakhti, R Krycinska, M Beiramvand… - IEEE Sensors …, 2024 - ieeexplore.ieee.org
Objectives: Commercial systems for monitoring the depth of anesthesia (DoA) are often
financially inaccessible to develo** countries. As an alternative, a wearable single frontal …

Recovery of brain network integration and segregation during the loss and recovery of consciousness induced by sevoflurane

K Dong, Q Wei, D Zhang, L Zhang… - … on Neural Systems …, 2022 - ieeexplore.ieee.org
Anesthetic-induced loss of consciousness (LOC) has been studied using functional
connectivity (FC) and functional network analysis (FNA), manifested as fragmentation of the …

Changes in Intrinsic Connectivity Networks Topology Across Levels of Dexmedetomidine-Induced Alteration of Consciousness

C Staquet, A Vanhaudenhuyse… - Anesthesia & …, 2024 - journals.lww.com
BACKGROUND: Human consciousness is generally thought to emerge from the activity of
intrinsic connectivity networks (resting-state networks [RSNs]) of the brain, which have …

Assessing consciousness levels using a single frontal electroencephalogram channel

M Shahbakhti - 2024 - epubl.ktu.edu
Abstract [eng] Consciousness is a multifaceted construct that spans a continuum from
wakefulness—characterized by responsiveness to external stimuli and cognitive …

[PDF][PDF] Wearable EEG-Based Depth of Anesthesia Monitoring: A Non-Parametric Feature Set

J Solé-Casals, M Wierzchon, J Wordliczek - 2024 - researchgate.net
Objectives: Commercial systems for monitoring the depth of anesthesia (DoA) are often
financially inaccessible to develo** countries. As an alternative, a wearable single frontal …

[PDF][PDF] Wearable EEG-Based Depth of Anesthesia Monitoring: A Nonparametric Feature Set

M Wierzchon, J Wordliczek - trepo.tuni.fi
Objectives: Commercial systems for monitoring the depth of anesthesia (DoA) are often
financially inaccessible to develo** countries. As an alternative, a wearable single frontal …