Intraoperative Optimization of Both Depth of Anesthesia and Cerebral Oxygenation in Elderly Patients Undergoing Coronary Artery Bypass Graft Surgery-A Randomized Controlled Pilot Trial.
Sign Up to like & getrecommendations! Published in 2019 at "Journal of cardiothoracic and vascular anesthesia"
DOI: 10.1053/j.jvca.2019.10.054
Abstract: OBJECTIVES Does intraoperative optimization of both depth of anesthesia and regional cerebral tissue oxygenation (rScO2) in elderly patients reduce postoperative cognitive decline (primary outcome) or delirium (secondary outcome)? DESIGN Prospective randomized controlled single blind trial.… read more here.
Keywords: bypass; surgery; trial; group ... See more keywords
Electroencephalogram variability analysis for monitoring depth of anesthesia.
Sign Up to like & getrecommendations! Published in 2021 at "Journal of neural engineering"
DOI: 10.1088/1741-2552/ac3316
Abstract: In this paper, a new approach of extracting and measuring the variability in electroencephalogram (EEG) was proposed to assess the depth of anesthesia (DOA) under general anesthesia. The EEG variability (EEGV) was extracted as a… read more here.
Keywords: analysis; variability; monitoring; depth anesthesia ... See more keywords
Effects of Osteotomy on Hemodynamic Parameters and Depth of Anesthesia in Rhinoplasty Operations.
Sign Up to like & getrecommendations! Published in 2020 at "Journal of Craniofacial Surgery"
DOI: 10.1097/scs.0000000000006447
Abstract: BACKGROUND Bleeding during rhinoplasty leads to many undesirable effects, such as loss of vision in the surgery area, complications during the procedure, and postoperative complications. The most important effect that increases bleeding is hemodynamic changes… read more here.
Keywords: hemodynamic parameters; depth anesthesia; surgery; bis values ... See more keywords
A Real-Time Depth of Anesthesia Monitoring System Based on Deep Neural Network With Large EDO Tolerant EEG Analog Front-End
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Transactions on Biomedical Circuits and Systems"
DOI: 10.1109/tbcas.2020.2998172
Abstract: In this article, we present a real-time electroencephalogram (EEG) based depth of anesthesia (DoA) monitoring system in conjunction with a deep learning framework, AnesNET. An EEG analog front-end (AFE) that can compensate ±380-mV electrode DC… read more here.
Keywords: neural network; system; real time; depth anesthesia ... See more keywords
Time-Frequency Analysis of EEG Signals and GLCM Features for Depth of Anesthesia Monitoring
Sign Up to like & getrecommendations! Published in 2021 at "Computational Intelligence and Neuroscience"
DOI: 10.1155/2021/8430565
Abstract: One of the important tasks in the operating room is monitoring the depth of anesthesia (DoA) during surgery, and noninvasive techniques are very popular. Hence, we propose a new scheme for DoA monitoring considering the… read more here.
Keywords: frequency analysis; time; time frequency; depth anesthesia ... See more keywords
Boosting framework via clinical monitoring data to predict the depth of anesthesia
Sign Up to like & getrecommendations! Published in 2022 at "Technology and Health Care"
DOI: 10.3233/thc-thc228045
Abstract: BACKGROUND: Prediction of the depth of anesthesia is a difficult job in the biomedical field. OBJECTIVE: This study aimed to build a boosting-based prediction model to predict the depth of anesthesia based on four clinical… read more here.
Keywords: anesthesia; depth anesthesia; clinical monitoring; boosting framework ... See more keywords