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 …
How electroencephalography serves the anesthesiologist
Major clinical endpoints of general anesthesia, such as the alteration of consciousness, are
achieved through effects of anesthetic agents on the central nervous system, and, more …
achieved through effects of anesthetic agents on the central nervous system, and, more …
Monitoring the depth of anesthesia using a new adaptive neurofuzzy system
Accurate and noninvasive monitoring of the depth of anesthesia (DoA) is highly desirable.
Since the anesthetic drugs act mainly on the central nervous system, the analysis of brain …
Since the anesthetic drugs act mainly on the central nervous system, the analysis of brain …
Sample entropy analysis for the estimating depth of anaesthesia through human EEG signal at different levels of unconsciousness during surgeries
Estimating the depth of anaesthesia (DoA) in operations has always been a challenging
issue due to the underlying complexity of the brain mechanisms. Electroencephalogram …
issue due to the underlying complexity of the brain mechanisms. Electroencephalogram …
Monitoring the depth of anesthesia using entropy features and an artificial neural network
Monitoring the depth of anesthesia using an electroencephalogram (EEG) is a major
ongoing challenge for anesthetists. The EEG is a recording of brain electrical activity, and it …
ongoing challenge for anesthetists. The EEG is a recording of brain electrical activity, and it …
Sample entropy analysis of EEG signals via artificial neural networks to model patients' consciousness level based on anesthesiologists experience
Electroencephalogram (EEG) signals, as it can express the human brain's activities and
reflect awareness, have been widely used in many research and medical equipment to build …
reflect awareness, have been widely used in many research and medical equipment to build …
Frontal–temporal functional connectivity of EEG signal by standardized permutation mutual information during anesthesia
Quantifying brain dynamics during anesthesia is an important challenge for understanding
the neurophysiological mechanisms of anesthetic drug effect. Several single channel …
the neurophysiological mechanisms of anesthetic drug effect. Several single channel …
Monitoring depth of anesthesia using combination of EEG measure and hemodynamic variables
Monitoring depth of anesthesia (DOA) via vital signs is a major ongoing challenge for
anesthetists. A number of electroencephalogram (EEG)-based monitors such as the …
anesthetists. A number of electroencephalogram (EEG)-based monitors such as the …
Monitoring depth of anesthesia based on hybrid features and recurrent neural network
Electroencephalogram (EEG) signals contain valuable information about the different
physiological states of the brain, with a variety of linear and nonlinear features that can be …
physiological states of the brain, with a variety of linear and nonlinear features that can be …
Analysis of EEG via multivariate empirical mode decomposition for depth of anesthesia based on sample entropy
In monitoring the depth of anesthesia (DOA), the electroencephalography (EEG) signals of
patients have been utilized during surgeries to diagnose their level of consciousness …
patients have been utilized during surgeries to diagnose their level of consciousness …