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 …
Use of multiple EEG features and artificial neural network to monitor the depth of anesthesia
Y Gu, Z Liang, S Hagihira - Sensors, 2019 - mdpi.com
The electroencephalogram (EEG) can reflect brain activity and contains abundant
information of different anesthetic states of the brain. It has been widely used for monitoring …
information of different anesthetic states of the brain. It has been widely used for monitoring …
Deep learning via ECG and PPG signals for prediction of depth of anesthesia
During surgeries, the amount of used anesthetic depends on the physical conditions of the
patient and is immensely critical. The conventionally used BIS Quantro machine which …
patient and is immensely critical. The conventionally used BIS Quantro machine which …
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 …
An EEG-based attentiveness recognition system using Hilbert–Huang transform and support vector machine
CJ Peng, YC Chen, CC Chen, SJ Chen… - Journal of Medical and …, 2020 - Springer
Purpose Attentiveness recognition benefits the detection of the mental state and
concentration when humans perform specific tasks. Hilbert–Huang transform (HHT) is useful …
concentration when humans perform specific tasks. Hilbert–Huang transform (HHT) is useful …
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 the level of hypnosis using a hierarchical SVM system
Monitoring level of hypnosis is a major ongoing challenge for anesthetists to reduce
anesthetic drug consumption, avoiding intraoperative awareness and prolonged recovery …
anesthetic drug consumption, avoiding intraoperative awareness and prolonged recovery …
Characterizing awake and anesthetized states using a dimensionality reduction method
Distinguishing between awake and anesthetized states is one of the important problems in
surgery. Vital signals contain valuable information that can be used in prediction of different …
surgery. Vital signals contain valuable information that can be used in prediction of different …
Comparison of FFT and marginal spectra of EEG using empirical mode decomposition to monitor anesthesia
SJ Chen, CJ Peng, YC Chen, YR Hwang, YS Lai… - Computer methods and …, 2016 - Elsevier
Background and objective Intraoperative awareness refers that patients can recall aspects of
their surgery after being put under general anesthesia. This distressing complication causes …
their surgery after being put under general anesthesia. This distressing complication causes …