https://scholars.lib.ntu.edu.tw/handle/123456789/637736
標題: | Intelligent modeling and control in anesthesia | 作者: | Lan, Jheng Yan Abbod, Maysam F. Yeh, Rong Guan SHOU-ZEN FAN Shieh, Jiann Shing |
關鍵字: | Akinesia | Amnesia | Analgesia | General anesthesia | Intelligent systems | Modeling and control | Unconsciousness | 公開日期: | 4-十二月-2012 | 卷: | 32 | 期: | 5 | 來源出版物: | Journal of Medical and Biological Engineering | 摘要: | This paper provides a detailed review of the clinical aspect and engineering view of how to measure, interpret, model, and control general anesthesia. The mechanisms of anesthesia in terms of unconsciousness, amnesia, analgesia, and akinesia in modern balanced anesthesia are reviewed. The assessment and interpretation of anesthesia according to clinical signs (i.e., lacrimation, sweating, papillary dilatation), physiological monitors (i.e., electromyography, electrocardiography, blood pressure, electroencephalography, oxyhemoglobin saturation), and evaluation indices (i.e., bispectral index scale, entropy, auditory evoked potentials, and surgical stress index) are reviewed in order to define the objectives of general anesthesia. Finally, the intelligent modeling and control of anesthesia are thoroughly reviewed. Modern general anesthesia is moving towards the monitoring, interpretation, modeling, and control of multi-inputs from quantitative and qualitative nonlinear physiological signals and multi-outputs for drug control of unconsciousness, amnesia, analgesia, and akinesia. A multistage hierarchical system should thus be developed for the modeling and control of general anesthesia in the future. |
URI: | https://scholars.lib.ntu.edu.tw/handle/123456789/637736 | ISSN: | 16090985 | DOI: | 10.5405/jmbe.1014 |
顯示於: | 醫學系 |
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