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Добірка наукової літератури з теми "Anesthesia Computer simulation"

Автор: Grafiati
Опубліковано: 10 грудня 2022
Оновлено: 29 січня 2023

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Статті в журналах з теми "Anesthesia Computer simulation"

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Bekker, Alex Y., Amit Mistry, Arthur A. Ritter, Steven C. Wolk, and Herman Turndorf. "Computer Simulation of Intracranial Pressure Changes During Induction of Anesthesia." Journal of Neurosurgical Anesthesiology 11, no. 2 (April 1999): 69–80. http://dx.doi.org/10.1097/00008506-199904000-00001.

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2

Syroid, Noah D., James Agutter, Frank A. Drews, Dwayne R. Westenskow, Robert W. Albert, Julio C. Bermudez, David L. Strayer, Hauke Prenzel, Robert G. Loeb, and Matthew B. Weinger. "Development and Evaluation of a Graphical Anesthesia Drug Display." Anesthesiology 96, no. 3 (March 1, 2002): 565–75. http://dx.doi.org/10.1097/00000542-200203000-00010.

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Background Usable real-time displays of intravenous anesthetic concentrations and effects could significantly enhance intraoperative clinical decision-making. Pharmacokinetic models are available to estimate past, present, and future drug effect-site concentrations, and pharmacodynamic models are available to predict the drug's associated physiologic effects. Methods An interdisciplinary research team (bioengineering, architecture, anesthesiology, computer engineering, and cognitive psychology) developed a graphic display that presents the real-time effect-site concentrations, normalized to the drugs' EC(95), of intravenous drugs. Graphical metaphors were created to show the drugs' pharmacodynamics. To evaluate the effect of the display on the management of total intravenous anesthesia, 15 anesthesiologists participated in a computer-based simulation study. The participants cared for patients during two experimental conditions: with and without the drug display. Results With the drug display, clinicians administered more bolus doses of remifentanil during anesthesia maintenance. There was a significantly lower variation in the predicted effect-site concentrations for remifentanil and propofol, and effect-site concentrations were maintained closer to the drugs' EC(95). There was no significant difference in the simulated patient heart rate and blood pressure with respect to experimental condition. The perceived performance for the participants was increased with the drug display, whereas mental demand, effort, and frustration level were reduced. In a post-simulation questionnaire, participants rated the display to be a useful addition to anesthesia monitoring. Conclusions The drug display altered simulated clinical practice. These results, which will inform the next iteration of designs and evaluations, suggest promise for this approach to drug data visualization.
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Bekker, Alex, Steven Wolk, Herman Turndorf, David Kristol, and Arthur Ritter. "Computer simulation of cererrovascular circulation: Assessment of intracranial hemodynamics during induction of anesthesia." Journal of Clinical Monitoring 12, no. 6 (November 1996): 433–44. http://dx.doi.org/10.1007/bf02199704.

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4

Woodworth, Glenn E., Elliza M. Chen, Jean-Louis E. Horn, and Michael F. Aziz. "Efficacy of computer-based video and simulation in ultrasound-guided regional anesthesia training." Journal of Clinical Anesthesia 26, no. 3 (May 2014): 212–21. http://dx.doi.org/10.1016/j.jclinane.2013.10.013.

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5

Hegedus, Erwin T., Isabela R. Birs, Mihaela Ghita, and Cristina I. Muresan. "Fractional-Order Control Strategy for Anesthesia–Hemodynamic Stabilization in Patients Undergoing Surgical Procedures." Fractal and Fractional 6, no. 10 (October 20, 2022): 614. http://dx.doi.org/10.3390/fractalfract6100614.

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Fractional calculus has been opening new doors in terms of better modeling and control of several phenomena and processes. Biomedical engineering has seen a lot of combined attention from clinicians, control engineers and researchers in their attempt to offer individualized treatment. A large number of medical procedures require anesthesia, which in turn requires a closely monitored and controlled level of hypnosis, analgesia and neuromuscular blockade, as well maintenance of hemodynamic variables in a safe range. Computer-controlled anesthesia has been given a tremendous amount of attention lately. Hemodynamic stabilization via computer-based control is also a hot topic. However, very few studies on automatic control of combined anesthesia–hemodynamic systems exist despite the fact that hemodynamics is strongly influenced by hypnotic drugs, while the depth of hypnosis is affected by drugs used in hemodynamic control. The very first multivariable fractional-order controller is developed in this paper for the combined anesthesia–hemodynamic system. Simulation studies on 24 patients show the effectiveness of the proposed approach.
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Aljamaan, Ibrahim, and Ahmed Alenany. "Identification of Wiener Box-Jenkins Model for Anesthesia Using Particle Swarm Optimization." Applied Sciences 12, no. 10 (May 10, 2022): 4817. http://dx.doi.org/10.3390/app12104817.

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Anesthesia refers to the process of preventing pain and relieving stress on the patient’s body during medical operations. Due to its vital importance in health care systems, the automation of anesthesia has gained a lot of interest in the past two decades and, for this purpose, several models of anesthesia are proposed in the literature. In this paper, a Wiener Box-Jenkins model, consisting of linear dynamics followed by a static polynomial nonlinearity and additive colored noise, is used to model anesthesia. A set of input–output data is generated using closed-loop simulations of the Pharmacokinetic–Pharmacodynamic nonlinear (PK/PD) model relating the drug infusion rates, in [μgkg−1min−1], to the Depth of Anesthesia (DoA), in [%]. The model parameters are then estimated offline using particle swarm optimization (PSO) technique. Several Monte Carlo simulations and validation tests are conducted to evaluate the performance of the identified model. The simulation showed very promising results with a quick convergence in less than 10 iterations, with a percentage error less than 1.5%.
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Johnson, Chad R., Roger C. Barr, and Stephen M. Klein. "A Computer Model of Electrical Stimulation of Peripheral Nerves in Regional Anesthesia." Anesthesiology 106, no. 2 (February 1, 2007): 323–30. http://dx.doi.org/10.1097/00000542-200702000-00021.

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Background Nerve stimulation for regional anesthesia can be modeled mathematically. The authors present a mathematical framework to model the underlying electrophysiology, the development of software to implement that framework, and examples of simulation results. Methods The mathematical framework includes descriptions of the needle, the resulting potential field, and the active nerve fiber. The latter requires a model of the individual membrane ionic currents. The model geometry is defined by a three-dimensional coordinate system that allows the needle to be manipulated as it is clinically and tracked in relation to the nerve fiber. The skin plane is included as an electrical boundary to current flow. The mathematical framework was implemented in the Matlab (The MathWorks, Natick, MA) computing environment and organized around a graphical user interface. Simulations were performed using an insulated needle or an uninsulated needle inserted perpendicular to the skin with the nerve fiber at a depth of 2 cm. For each needle design, data were obtained with the needle as cathode or anode. Data are presented as current-distance maps that highlight combinations of current amplitude and tip-to-nerve distance that evoked a propagated response. Results With the needle tip positioned 2 mm proximal to the depth of the nerve, an insulated needle required a current greater than 0.457 mA for impulse propagation when attached to the cathode; when attached to the anode, the minimal current was 2.354 mA. In the same position, an uninsulated needle attached to the cathode required a current greater than 2.395 mA to generate a response. However, when an uninsulated needle was attached to the anode, currents up to 7 mA were inadequate to produce a propagated response. Of particular interest were combinations of current amplitude and needle position that activated the fiber but blocked impulse propagation for cathodal stimulation. Conclusions Mathematical modeling of nerve stimulation for regional anesthesia is possible and could be used to investigate new equipment or needle designs, test nerve localization protocols, enhance clinical and experimental data, and ultimately generate new hypotheses.
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8

OZAKI, M. "Anesthesia and Crisis Management Simulation on the Desktop Computer(Special Issue : Simulators and Medical Education)." JAPANES JOURNAL OF MEDICAL INSTRUMENTATION 69, no. 3 (March 1, 1999): 127–29. http://dx.doi.org/10.4286/ikakikaigaku.69.3_127.

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9

Bekker, A., I. Osborn, and H. Turndorf. "Computer simulation of cerebrovascular responses during induction of anesthesia: comparison of thiopental, propofol, and etomidate." Journal of Neurosurgical Anesthesiology 10, no. 4 (October 1998): 265. http://dx.doi.org/10.1097/00008506-199810000-00043.

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10

Bai, Manyun, Renzhong Guo, Qian Zhao, and Yufang Li. "Artificial Intelligence-Based CT Images in Analysis of Postoperative Recovery of Patients Undergoing Laparoscopic Cholecystectomy under Balanced Anesthesia." Scientific Programming 2021 (September 1, 2021): 1–7. http://dx.doi.org/10.1155/2021/1125573.

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To explore whether preoperative processing can promote the recovery of gastrointestinal function after laparoscopic cholecystectomy (LC) surgery, in the study, an artificial intelligence-based algorithm was used to segment the CT images to assist doctors in decision making. The patients were divided into observation group (balanced anesthesia) and control group (general anesthesia) with SPSS. The observation group received balanced anesthesia half a day before the operation. The method of balanced anesthesia was to induce 0.2 mg/kg midazolam, 3 mg/kg propofol, 2 μg/kg remifentanil, 0.2 mg/kg vecuronium, 4∼5 mg/(kg·h) propofol, and 9∼11 μg/(kg·h) remifentanil continuous intravenous infusion to maintain anesthesia, and it was stopped once the patient defecated; the control group had general anesthesia in the afternoon after the operation, and it was stopped once the patient defecated. The time before the first exhaust and defecation after the surgery as well as the recovery time of bowel sound was recorded, and the degree of abdominal pain, abdominal distension, and gastrointestinal adverse reactions was evaluated at 22 hours, 46 hours, and 70 hours after the surgery. It was found that the accuracy of the artificial intelligence-based segmentation algorithm was 81%. The reconstruction accuracy of multidimensional liver could be observed at any angle, and the reconstruction accuracy was not lower than the resolution of original input CT. The calculation error was less than 9%, and the volume of whole liver, liver segment, preresection liver, and residual liver was less than 9%. The simulation accuracy of virtual liver surgery was not lower than the resolution of original input CT. The time before the first exhaust and defecation was shorter in the observation group versus the control group ( P < 0.05). The recovery time of bowel sound in the observation group was shorter than that in the control group ( P < 0.05). There was a significant difference in the scores of abdominal distension between the two groups at 22 h and 46 h after surgery ( P < 0.05). It suggested that both the observation group and the control group could improve the symptoms of gastrointestinal adverse reactions after surgery. Nevertheless, balanced anesthesia can shorten the time before the first exhaust and defecation after surgery and promote the recovery of postoperative bowel sound. Furthermore, balanced anesthesia can alleviate abdominal distension, abdominal pain, and gastrointestinal adverse reactions, which should be promoted in clinic.
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Дисертації з теми "Anesthesia Computer simulation"

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Holton, Leslie Lynne Hiemenz. "Development of a haptic feedback model for computer simulation of the epidural anesthesia needle insertion procedure /." The Ohio State University, 2000. http://rave.ohiolink.edu/etdc/view?acc_num=osu1488195633517599.

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Ward, Robyn Camille. "Assessing the Validity and Reliability of Computer-based Case Simulations in a Nurse Anesthesia Specialty." Thesis, Rush University, 2018. http://pqdtopen.proquest.com/#viewpdf?dispub=10746481.

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Chronic pain has become a public health crisis in America, with subsequent high dependence on opioids. The use of nonsurgical pain management methods to treat pain is a viable alternative. Certified registered nurse anesthetists (CRNAs) have treated chronic pain patients with nonsurgical pain management methods for years, however, scope of practice and reimbursement issues over the past decade have threatened patients’ access to chronic pain care by CRNAs. As a result, the need for specialty certification in nonsurgical pain management became apparent. Assessing decision-making in healthcare professions with computerized simulation-based methods which aim to assess higher performance-based domains of competence have gained notoriety in recent years, however validity evidence is lacking. The purpose of this dissertation was to assess the validity and reliability of computer-based case simulations on the nonsurgical pain management certification examination for CRNAs who specialize in nonsurgical pain management. Computer-based case simulations, also known as clinical scenario items (CSIs), were developed by the National Board of Certification and Recertification for Nurse Anesthetists in 2013, and were tested for construct validity and internal consistency in this study. Miller’s pyramid was chosen as the theoretical framework based on its hierarchical progression of assessment methods from foundational knowledge to performance in practice. Data from a convenience sample of 32 examinees who took the nonsurgical pain management examination were utilized, and consisted of 134 multiple choice questions (MCQs) and 2 clinical scenario items (CSIs) per examinee. Exploratory factor analysis revealed two underlying factors in the assessment of knowledge using MCQs, and three factors in the assessment of decision-making using CSIs. Internal consistency reliability was low to moderate for all constructs. A weakly positive correlation between MCQ scores and CSI scores revealed a weakly modest validation that CSIs measure a higher construct of competence. Correlation between time in practice to MCQ scores and CSI scores were both nonsignificant, and demonstrated that more time in practice did not correlate with higher examination performance. This study demonstrated that competence is best evaluated by a multimodal approach, such as practice outcome data and peer attestations of competent performance.

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Книги з теми "Anesthesia Computer simulation"

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C, Henson Lindsey, Lee Andrew C, and Conference on Simulators in Anesthesiology Education (2nd : 1996 : Rochester, N.Y.), eds. Simulators in anesthesiology education. New York: Plenum Press, 1998.

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2

Simulation In Anesthesia. Saunders, 2006.

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3

Lee, Andrew C., and Lindsey C. Henson. Simulators in Anesthesiology Education. Springer London, Limited, 2013.

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Частини книг з теми "Anesthesia Computer simulation"

1

Hrubý, Martin, Antonio Gonzáles, Ricardo Ruiz Nolasco, Ken Sharman, and Sergio Sáez. "Simulation Infrastructure for Automated Anesthesia During Operations." In Computer Aided Systems Theory – EUROCAST 2019, 474–81. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-45093-9_57.

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Fukui, Yasuhiro, Toru Masuzawa, Makoto Ozaki, and N. Ty Smith. "Digital Computer Simulation of Cardiovascular System in Bleeding Patient for Clinical Management." In Computing and Monitoring in Anesthesia and Intensive Care, 64–72. Tokyo: Springer Japan, 1992. http://dx.doi.org/10.1007/978-4-431-68201-1_17.

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Тези доповідей конференцій з теми "Anesthesia Computer simulation"

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Wetmore, Douglas S., Md Nishant A. Gandhi, Md Christopher Curatolo, Md Andrew Goldberg, Md Patrick McCormick, Md Adam Levine, and Md Samuel Demaria. "Simulation to Test Hard-Stop Implementation of a Pre-anesthetic Induction Checklist." In 2014 IEEE 27th International Symposium on Computer-Based Medical Systems (CBMS). IEEE, 2014. http://dx.doi.org/10.1109/cbms.2014.72.

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