Monitoring the depth of anesthesia using a new adaptive neurofuzzy system

A Shalbaf, M Saffar, JW Sleigh… - IEEE journal of …, 2017 - ieeexplore.ieee.org
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 …

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 …

Deep learning via ECG and PPG signals for prediction of depth of anesthesia

MR Chowdhury, R Madanu, MF Abbod, SZ Fan… - … Signal Processing and …, 2021 - Elsevier
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 …

Monitoring the depth of anesthesia using entropy features and an artificial neural network

R Shalbaf, H Behnam, JW Sleigh, A Steyn-Ross… - Journal of neuroscience …, 2013 - Elsevier
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 …

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 …

Frontal–temporal functional connectivity of EEG signal by standardized permutation mutual information during anesthesia

F Afshani, A Shalbaf, R Shalbaf, J Sleigh - Cognitive neurodynamics, 2019 - Springer
Quantifying brain dynamics during anesthesia is an important challenge for understanding
the neurophysiological mechanisms of anesthetic drug effect. Several single channel …

Monitoring depth of anesthesia using combination of EEG measure and hemodynamic variables

R Shalbaf, H Behnam, H Jelveh Moghadam - Cognitive Neurodynamics, 2015 - Springer
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 …

Monitoring the level of hypnosis using a hierarchical SVM system

A Shalbaf, R Shalbaf, M Saffar, J Sleigh - Journal of Clinical Monitoring …, 2020 - Springer
Monitoring level of hypnosis is a major ongoing challenge for anesthetists to reduce
anesthetic drug consumption, avoiding intraoperative awareness and prolonged recovery …

Characterizing awake and anesthetized states using a dimensionality reduction method

M Mirsadeghi, H Behnam, R Shalbaf… - Journal of medical …, 2016 - Springer
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 …

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 …