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 …

Temporal complexity of EEG encodes human alertness

M Hadra, A Omidvarnia, M Mesbah - Physiological measurement, 2022 - iopscience.iop.org
Objective. Automatic human alertness monitoring has recently become an important
research topic with important applications in many areas such as the detection of drivers' …

Criticality supports cross-frequency cortical-thalamic information transfer during conscious states

D Toker, E Müller, H Miyamoto, MS Riga… - Elife, 2024 - elifesciences.org
Consciousness is thought to be regulated by bidirectional information transfer between the
cortex and thalamus, but the nature of this bidirectional communication-and its possible …

Measurement of information transfer based on phase increment transfer entropy

G Lin, A Lin, Y Mi, D Gu - Chaos, Solitons & Fractals, 2023 - Elsevier
The construction of time series networks in complex systems facilitates the investigation of
information interaction mechanisms among subsystems. As widely used causal relationship …

A reliable method to estimate the bispectral index value using a single frontal EEG channel for intra and inter subject variability

M Shahbakhti, M Beiramvand… - 2023 IEEE …, 2023 - ieeexplore.ieee.org
Objective: Monitoring the depth of anesthesia (DoA) plays an important role for
administering the drug injection during a surgery, ie, preventing undesired awareness and …

Altered functional and directed connectivity in propofol-induced loss of consciousness: A source-space resting-state EEG study

Y Chen, S Li, F Wu, L Zou, J Zhang - Clinical Neurophysiology, 2022 - Elsevier
Objective General anesthesia might disrupt neuronal network communications measured by
functional connectivity (FC; undirected connectivity) and directional information flow …

Criticality supports cross-frequency cortical-thalamic information transfer during conscious states

D Toker, E Müller, H Miyamoto, MS Riga… - bioRxiv, 2023 - biorxiv.org
Consciousness is thought to be regulated by bidirectional information transfer between the
cortex and thalamus, but the nature of this bidirectional communication-and its possible …

Assessing rheoencephalography dynamics through analysis of the interactions among brain and cardiac networks during general anesthesia

C González, G Garcia-Hernando… - Frontiers in Network …, 2022 - frontiersin.org
Cerebral blood flow (CBF) reflects the rate of delivery of arterial blood to the brain. Since no
nutrients, oxygen or water can be stored in the cranial cavity due to space and pressure …

Optimization of Intraoperative Neurophysiological Monitoring Through Anesthetic Management

F Rabai, TB Sloan, CN Seubert - Koht, Sloan, Toleikis's Monitoring the …, 2022 - Springer
Most neurophysiological monitoring techniques are affected by drugs given in the course of
anesthesia and by changes in the patient's physiology, making the anesthesiologist a key …

Age-dependent electroencephalogram characteristics during different levels of anesthetic depth

F Li, Y Dang, X Zhang, H Chen… - Clinical EEG and …, 2024 - journals.sagepub.com
Objective The monitoring of anesthetic depth based on electroencephalogram derivation is
not currently adjusted for age. Here we analyze the influence of age factors on …