AIMC Topic: Anesthesia
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Physicochemical stability of an admixture of lidocaine and ketamine in polypropylene syringe used in opioid-free anaesthesia.
European journal of hospital pharmacy : science and practice
Oct 18, 2019
OBJECTIVES: Opioid-free anaesthesia is a treatment strategy of pain management based on the use of drugs such as lidocaine, ketamine and dexmedetomidine that do not interact significantly with opioid receptors. In particular, these drugs are used by ...
Design and Implementation of a Machine Learning Based EEG Processor for Accurate Estimation of Depth of Anesthesia.
IEEE transactions on biomedical circuits and systems
Jun 10, 2019
Accurate monitoring of the depth of anesthesia (DoA) is essential for intraoperative and postoperative patient's health. Commercially available electroencephalograph (EEG)-based DoA monitors are recommended only for certain anesthetic drugs and speci...
Use of Multiple EEG Features and Artificial Neural Network to Monitor the Depth of Anesthesia.
Sensors (Basel, Switzerland)
May 31, 2019
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 depth of anesthesia (DoA). In this study, we propose a method that combine...
Robotic surgery: how to safely and beneficially approach the age of maturity.
Minerva anestesiologica
May 3, 2019
Monitoring the level of hypnosis using a hierarchical SVM system.
Journal of clinical monitoring and computing
Apr 15, 2019
Monitoring level of hypnosis is a major ongoing challenge for anesthetists to reduce anesthetic drug consumption, avoiding intraoperative awareness and prolonged recovery. This paper proposes a novel automated method for accurate assessing of the lev...
An artificial neural network model for prediction of hypoxemia during sedation for gastrointestinal endoscopy.
The Journal of international medical research
Mar 26, 2019
OBJECTIVE: This study was designed to assess clinical predictors of hypoxemia and develop an artificial neural network (ANN) model for prediction of hypoxemia during sedation for gastrointestinal endoscopy examination.
The characteristic patterns of neuronal avalanches in mice under anesthesia and at rest: An investigation using constrained artificial neural networks.
PloS one
May 24, 2018
Local perturbations within complex dynamical systems can trigger cascade-like events that spread across significant portions of the system. Cascades of this type have been observed across a broad range of scales in the brain. Studies of these cascade...
Multi-neuron intracellular recording in vivo via interacting autopatching robots.
eLife
Jan 3, 2018
The activities of groups of neurons in a circuit or brain region are important for neuronal computations that contribute to behaviors and disease states. Traditional extracellular recordings have been powerful and scalable, but much less is known abo...
The use of multi-criteria decision making models in evaluating anesthesia method options in circumcision surgery.
BMC medical informatics and decision making
Jan 23, 2017
BACKGROUND: Determining the most suitable anesthesia method for circumcision surgery plays a fundamental role in pediatric surgery. This study is aimed to present pediatric surgeons' perspective on the relative importance of the criteria for selectin...
Intraoperative baseline oxygen consumption as a prognostic factor in emergency open abdominal surgery.
Journal of critical care
Nov 26, 2015
BACKGROUND: A new anesthesia system, the E-CAIOVX (GE Healthcare) enables the continuous monitoring of oxygen consumption (VO2) and carbon dioxide elimination (VCO2) during the surgical operation. The aim of this study was to evaluate the prognostic ...
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