1,032 resources related to Anesthesia
- Topics related to Anesthesia
- IEEE Organizations related to Anesthesia
- Conferences related to Anesthesia
- Periodicals related to Anesthesia
- Most published Xplore authors for Anesthesia
The 2020 IEEE International Conference on Systems, Man, and Cybernetics (SMC 2020) will be held in Metro Toronto Convention Centre (MTCC), Toronto, Ontario, Canada. SMC 2020 is the flagship conference of the IEEE Systems, Man, and Cybernetics Society. It provides an international forum for researchers and practitioners to report most recent innovations and developments, summarize state-of-the-art, and exchange ideas and advances in all aspects of systems science and engineering, human machine systems, and cybernetics. Advances in these fields have increasing importance in the creation of intelligent environments involving technologies interacting with humans to provide an enriching experience and thereby improve quality of life. Papers related to the conference theme are solicited, including theories, methodologies, and emerging applications. Contributions to theory and practice, including but not limited to the following technical areas, are invited.
The conference program will consist of plenary lectures, symposia, workshops andinvitedsessions of the latest significant findings and developments in all the major fields ofbiomedical engineering.Submitted papers will be peer reviewed. Accepted high quality paperswill be presented in oral and postersessions, will appear in the Conference Proceedings and willbe indexed in PubMed/MEDLINE & IEEE Xplore
The conference is the primary forum for cross-industry and multidisciplinary research in automation. Its goal is to provide a broad coverage and dissemination of foundational research in automation among researchers, academics, and practitioners.
2019 IEEE 58th Conference on Decision and Control (CDC)
The CDC is recognized as the premier scientific and engineering conference dedicated to the advancement of the theory and practice of systems and control. The CDC annually brings together an international community of researchers and practitioners in the field of automatic control to discuss new research results, perspectives on future developments, and innovative applications relevant to decision making, systems and control, and related areas.The 58th CDC will feature contributed and invited papers, as well as workshops and may include tutorial sessions.The IEEE CDC is hosted by the IEEE Control Systems Society (CSS) in cooperation with the Society for Industrial and Applied Mathematics (SIAM), the Institute for Operations Research and the Management Sciences (INFORMS), the Japanese Society for Instrument and Control Engineers (SICE), and the European Union Control Association (EUCA).
Broad coverage of concepts and methods of the physical and engineering sciences applied in biology and medicine, ranging from formalized mathematical theory through experimental science and technological development to practical clinical applications.
Both general and technical articles on current technologies and methods used in biomedical and clinical engineering; societal implications of medical technologies; current news items; book reviews; patent descriptions; and correspondence. Special interest departments, students, law, clinical engineering, ethics, new products, society news, historical features and government.
Telemedicine, teleradiology, telepathology, telemonitoring, telediagnostics, 3D animations in health care, health information networks, clinical information systems, virtual reality applications in medicine, broadband technologies, and global information infrastructure design for health care.
This IEEE Computer Society periodical covers the many rapidly emerging issues facing information technology professionals, developers, and managers of enterprise information systems. IT Professional's coverage areas include: Web services, Internet security, data management; enterprise architectures and infrastructures; organizing and utilizing data; instituting cross-functional systems; using IT for competitive breakthroughs; integrating systems and capitalizing on IT advances; emerging technologies like electronic ...
Imaging methods applied to living organisms with emphasis on innovative approaches that use emerging technologies supported by rigorous physical and mathematical analysis and quantitative evaluation of performance.
Proceedings of the 15th Annual International Conference of the IEEE Engineering in Medicine and Biology Societ, 1993
Proceedings of the 15th Annual International Conference of the IEEE Engineering in Medicine and Biology Societ, 1993
2009 3rd International Conference on Bioinformatics and Biomedical Engineering, 2009
Monitoring and controlling the depth of anesthesia in surgery is so important. Compartmental models are well suited for closed-loop control of drug administration. In this paper, we develop a neural network and a fuzzy controller for nonlinear and compartmental system with nonnegative control input. In addition, the controllers guarantee that the physical system states remain in the nonnegative state space. ...
Proceedings of the 25th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (IEEE Cat. No.03CH37439), 2003
The directions of endpoint forces in the horizontal plane exerted by individual muscles of the feline hindlimb were predicted using a musculoskeletal simulation and investigated by electrical stimulation of muscles in decerebrate cats. The vectorial directions were consistent with commonly accepted muscle attachments. Both approaches supported the hypothesis that distal muscles may play an important role in directing the force ...
2008 Fourth International Conference on Natural Computation, 2008
To determine changes in the plasma metabolic phenotype in rats with chronic immobilization stress (CIS), and attempt to interpretation of metabonomic changes in the rats induced by CIS via determination of characteristic metabolic products and discovery of biomarkers in the rats. Blood was collected from the cardioventricle under anesthesia and detected by using the Fourier variable superconducting nuclear magnetic resonance ...
Monitoring and controlling the depth of anesthesia in surgery is so important. Compartmental models are well suited for closed-loop control of drug administration. In this paper, we develop a neural network and a fuzzy controller for nonlinear and compartmental system with nonnegative control input. In addition, the controllers guarantee that the physical system states remain in the nonnegative state space. After that, the proposed approaches are used to control the infusion of the anesthetic drug propofol in order to maintain a desired constant level of the depth of anesthesia for noncardiac surgery. In the end, this goal can be reached that intelligent systems are better than classic adaptive controller in adjustment of anesthesia with suitable condition of patient.
The directions of endpoint forces in the horizontal plane exerted by individual muscles of the feline hindlimb were predicted using a musculoskeletal simulation and investigated by electrical stimulation of muscles in decerebrate cats. The vectorial directions were consistent with commonly accepted muscle attachments. Both approaches supported the hypothesis that distal muscles may play an important role in directing the force vectors in the horizontal plane.
To determine changes in the plasma metabolic phenotype in rats with chronic immobilization stress (CIS), and attempt to interpretation of metabonomic changes in the rats induced by CIS via determination of characteristic metabolic products and discovery of biomarkers in the rats. Blood was collected from the cardioventricle under anesthesia and detected by using the Fourier variable superconducting nuclear magnetic resonance (NMR) spectrometer. The results showed: the PCA analysis of rat plasma 1H NMR spectra revealed different metabolic spectra between stress and control groups, which was consistent with alterations of in vivo metabolisms in rats under stress stimuli. It can be concluded that: the metabolic phenotype of CIS includes increases in plasma levels of lactic acid, choline, NAC, saturated fatty acid, and decreases in the levels of unsaturated fatty acid, blood sugar, HDL, and the unknown compounds (3.44 ppm). These metabolic components also may be the biomarkers of metabolites induced by CIS.
A simple, noninvasive technique which has the capability of determining differential blood flow during one-lung anesthesia, when one lung is collapsed and the other is ventilated, is described. This technique uses partial rebreathing for a 30-s interval and an incremental Fick equation to eliminate the need for measuring mixed venous gas concentrations. The method relies on the lung as a window to the pulmonary circulation. A study on mongrel dogs that validates the hypothesis that this method can accurately measure the blood flow to the ventilated lung is reported. Total flow (cardiac output), pulmonary shunt, and the pulmonary capillary blood flow (PCBF) estimate were obtained during both lung and one-lung ventilation. Correlation of the PCBF estimate with measured PCBF for the ventilated lung is 0.86 with a regression equation y=0.85x+0.74.<<ETX>>
This paper presents two artificial neural network (ANN) structures to estimate the depth of anesthesia (DOA). First, a clinical study involved on 33 patients is proposed to construct reference data and also to compare the results with BIS monitor (Aspect Medical, Vista), which represents satisfactory correlation with clinical assessments. Secondly, to extract features from electroencephalogram (EEG) signals, we extract some features in frequency and time domain as well as in wavelet (Daubechies) domain. Finally, to integrate EEG features to estimate DOA, ANNs based on back propagation (BP) algorithm are proposed. Since each of the proposed features may has good performance only for a specific range of DOA, this model proved to have good prediction properties, and the output of the proposed ANN has a high correlation with the output of the BIS index.
In this paper, the effect of alcohol on visual event related potentials (visual ERPs) of 61-channel electroencephalogram (EEG) is investigated using Spectral Entropy (SE) parameters in beta band (13-28Hz). The Repeated Measures Anova (RMANOVA) test is used to determine within group and between group variability of SE values in (61 channels) various specified regions of the brain during a visual single object recognition task. In order to discriminate visual ERPs produced in alcoholics and controls within the beta band, SE features are applied to a k-NN classifier. RMANOVA tests show that there is little statistical significance (p>0.05) as far as the marginal mean between groups is considered. However, the marginal mean variability within group indicates that there are some selected channels in which the statistical significance is observed (p<;0.05). The classification results show that k-NN classification achieves 90.41% accuracy with k=8. It is also observed that the mean of spectral entropy values increase mainly in the left frontal region of the brain in alcoholics as compared to controls.
Analgesic application of electrical stimulation during an induced pain on the medical research field is an unique technique. This study is about the development of Induced Pain Inhibiting System (IPIS) which consists of new electrodes set and LabVIEW/sup TM/ waveform generation system to provide a new method for analgesic treatment during an induced pain and therefore could be used as alternative technique for pain inhibition in regional anesthetic treatment.
No standards are currently tagged "Anesthesia"