AIMC Topic: Intraoperative Neurophysiological Monitoring

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Improving the anesthetic process by a fuzzy rule based medical decision system.

Artificial intelligence in medicine Jan 5, 2018
OBJECTIVE: The main objective of this research is the design and implementation of a new fuzzy logic tool for automatic drug delivery in patients undergoing general anesthesia. The aim is to adjust the drug dose to the real patient needs using heuris...
Humans Decision Support Techniques Clinical Decision-Making Middle Aged Time Factors Intraoperative Neurophysiological Monitoring Decision Support Systems, Clinical Female Adult Male Anesthetics, Intravenous Infusion Pumps Infusions, Intravenous Anesthesia, Intravenous Electroencephalography Signal Processing, Computer-Assisted Brain Waves Fuzzy Logic Consciousness Monitors Propofol Predictive Value of Tests
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Association Between Optic Nerve Head Blood Flow Measured Using Laser Speckle Flowgraphy and Radial Arterial Pressure During Aortic Arch Surgery.

Journal of cardiothoracic and vascular anesthesia Aug 2, 2017
OBJECTIVE: This study was designed to investigate the association between ocular blood flow measured using laser speckle flowgraphy (LSFG) and radial arterial pressure during aortic arch surgery.
Laser-Doppler Flowmetry Intraoperative Neurophysiological Monitoring Aged Aorta, Thoracic Cardiopulmonary Bypass Male Optic Disk Blood Flow Velocity Regional Blood Flow Humans Middle Aged Arterial Pressure Prospective Studies Female
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Identifying seizure onset zone from electrocorticographic recordings: A machine learning approach based on phase locking value.

Seizure Jul 25, 2017
PURPOSE: Using a novel technique based on phase locking value (PLV), we investigated the potential for features extracted from electrocorticographic (ECoG) recordings to serve as biomarkers to identify the seizure onset zone (SOZ).
Intraoperative Neurophysiological Monitoring Seizures Electrocorticography Retrospective Studies Female Young Adult Adolescent Child, Preschool Adult Male Humans Machine Learning Algorithms
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EEG artifacts reduction by multivariate empirical mode decomposition and multiscale entropy for monitoring depth of anaesthesia during surgery.

Medical & biological engineering & computing Dec 19, 2016
Electroencephalography (EEG) has been widely utilized to measure the depth of anaesthesia (DOA) during operation. However, the EEG signals are usually contaminated by artifacts which have a consequence on the measured DOA accuracy. In this study, an ...
Multivariate Analysis Sensitivity and Specificity Entropy Intraoperative Neurophysiological Monitoring Consciousness Monitors Models, Statistical Brain Computer Simulation Artifacts Data Interpretation, Statistical Humans Reproducibility of Results Pattern Recognition, Automated Electroencephalography Neural Networks, Computer Algorithms
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EEG Signals Analysis Using Multiscale Entropy for Depth of Anesthesia Monitoring during Surgery through Artificial Neural Networks.

Computational and mathematical methods in medicine Sep 28, 2015
In order to build a reliable index to monitor the depth of anesthesia (DOA), many algorithms have been proposed in recent years, one of which is sample entropy (SampEn), a commonly used and important tool to measure the regularity of data series. How...
Algorithms Aged Young Adult Multivariate Analysis Electroencephalography Humans Signal Processing, Computer-Assisted Neural Networks, Computer Artifacts Anesthesia Adult Middle Aged Intraoperative Neurophysiological Monitoring
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An Intelligent Decision System for Intraoperative Somatosensory Evoked Potential Monitoring.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society Sep 23, 2015
Somatosensory evoked potential (SEP) is a useful, noninvasive technique widely used for spinal cord monitoring during surgery. One of the main indicators of a spinal cord injury is the drop in amplitude of the SEP signal in comparison to the nominal ...
Support Vector Machine Least-Squares Analysis Spinal Cord Decision Making, Computer-Assisted Algorithms Humans Evoked Potentials, Somatosensory Artificial Intelligence False Positive Reactions Computer Systems Spinal Cord Injuries Intraoperative Neurophysiological Monitoring
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Artificial Intelligence-enabled, Real-time Intraoperative Ultrasound Imaging of Neural Structures Within the Psoas: Validation in a Porcine Spine Model.

Spine Feb 1, 2021
STUDY DESIGN: Experimental in-vivo animal study.
Reproducibility of Results Animals Swine Machine Learning Algorithms Female Spinal Fusion Lumbar Vertebrae Psoas Muscles Models, Animal Intraoperative Neurophysiological Monitoring Humans Ultrasonography Artificial Intelligence Image Processing, Computer-Assisted
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