AIMC Topic: Anesthesia
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Intelligent monitoring of noxious stimulation during anaesthesia based on heart rate variability analysis.
Computers in biology and medicine
Mar 18, 2022
Research based on medical signals has received significant attention in recent years. If the patients' states can be accurately monitored based on medical signals, it greatly benefits both doctors and patients. This paper proposes a method to extract...
Letter to the Editor: A randomised trial to compare the increase in intracranial pressure as correlated with the optic nerve sheath diameter during propofol versus sevoflurane-maintained anesthesia in robot-assisted laparoscopic pelvic surgery.
Journal of robotic surgery
Feb 28, 2022
Development of a Novel Anesthesia Airway Management Robot.
Sensors (Basel, Switzerland)
Dec 6, 2021
Non-invasive positive pressure ventilation has attracted increasing attention for air management in general anesthesia. This work proposes a novel robot equipped with two snake arms and a mask-fastening mechanism to facilitate trachea airway manageme...
A Combinatorial Deep Learning Structure for Precise Depth of Anesthesia Estimation From EEG Signals.
IEEE journal of biomedical and health informatics
Sep 3, 2021
Electroencephalography (EEG) is commonly used to measure the depth of anesthesia (DOA) because EEG reflects surgical pain and state of the brain. However, precise and real-time estimation of DOA index for painful surgical operations is challenging du...
Machine Learning, Deep Learning, and Closed Loop Devices-Anesthesia Delivery.
Anesthesiology clinics
Jul 12, 2021
With the tremendous volume of data captured during surgeries and procedures, critical care, and pain management, the field of anesthesiology is uniquely suited for the application of machine learning, neural networks, and closed loop technologies. In...
Machine learning of EEG spectra classifies unconsciousness during GABAergic anesthesia.
PloS one
May 6, 2021
In current anesthesiology practice, anesthesiologists infer the state of unconsciousness without directly monitoring the brain. Drug- and patient-specific electroencephalographic (EEG) signatures of anesthesia-induced unconsciousness have been identi...
Anaesthesia management during paediatric robotic surgery: preliminary results from a single centre multidisciplinary experience.
Anaesthesia, critical care & pain medicine
Mar 20, 2021
INTRODUCTION: Paediatric robotic surgery is gaining popularity across multiple disciplines and offers technical advantages in complex procedures requiring delicate dissection. To date, limited publications describe its perioperative management in chi...
Heart rate variability-derived features based on deep neural network for distinguishing different anaesthesia states.
BMC anesthesiology
Mar 2, 2021
BACKGROUND: Estimating the depth of anaesthesia (DoA) is critical in modern anaesthetic practice. Multiple DoA monitors based on electroencephalograms (EEGs) have been widely used for DoA monitoring; however, these monitors may be inaccurate under ce...
Frontotemporal EEG to guide sedation in COVID-19 related acute respiratory distress syndrome.
Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology
Jan 20, 2021
OBJECTIVE: To study if limited frontotemporal electroencephalogram (EEG) can guide sedation changes in highly infectious novel coronavirus disease 2019 (COVID-19) patients receiving neuromuscular blocking agent.
Neurotransmitter networks in mouse prefrontal cortex are reconfigured by isoflurane anesthesia.
Journal of neurophysiology
Apr 29, 2020
This study quantified eight small-molecule neurotransmitters collected simultaneously from prefrontal cortex of C57BL/6J mice ( = 23) during wakefulness and during isoflurane anesthesia (1.3%). Using isoflurane anesthesia as an independent variable e...
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