Intelligent Systems Modeling And Decision Support in Bioengineering (Engineering in Medicine & Biology)
暫譯: 生物工程中的智能系統建模與決策支持(醫學與生物工程)
Mahdi Mahfouf
- 出版商: Artech House Publish
- 出版日期: 2006-07-31
- 售價: $6,120
- 貴賓價: 9.5 折 $5,814
- 語言: 英文
- 頁數: 356
- 裝訂: Hardcover
- ISBN: 158053998X
- ISBN-13: 9781580539982
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商品描述
Description:
Helping to bridge the gap between medicine and engineering, this groundbreaking resource provides a detailed understanding of the analysis, design, and application of new intelligent systems in the biomedical industry. The book covers the three major areas of application in biomedicine, including the modeling and control in human anaesthesia, decision support for critically ill patients in intensive care units, and modeling of humans who are subjected to physical workload stress.
You find expert guidance on signal processing in Anaesthesia; systems modeling and feedback adaptive control of Anaesthesia; model reduction of physiological modeling using systems engineering; design of intelligent-systems-based decision support systems in critical and life-threatening environments; and hybrid modeling ? combining intelligent systems structures with physical models. This cutting-edge reference also describes the monitoring and closed-loop control of anaesthesia via blood pressure measurements during surgery. Additionally, you learn a new systems engineering approach to the modeling of human physiology via pharmacokinetics/pharmacodynamics studies relating to anaesthetic drugs.
A Survey on Utilization of Intelligent-Based Techniques in Medicine ? Intelligent Control and Monitoring in Medical Fields. Intelligent Control Techniques. Intelligent Techniques for Biomedical Analysis. Discussions and Conclusions. Structure of the Book.
Table of Contents:
1Part 1: Aneasthesia Therapy
Multivariable Feedback Control of Muscle Relaxation and Unconsciousness Using Model-Based Predictive Control ? Physiological Background Relating to the Muscle Relaxation Process. Compartmental Modeling of Muscle Relaxants. Adaptive Predictive Control of Muscle Relaxation. A Multivariable Model for Anaesthesia. A Review of the Multivariable Control System.
A New Generic Approach to Model Reduction for Complex Physiologically-Based Drug Models ? Pharmacokinetics Associated with Fentanyl and Pethidine. Dynamic Representation of the Mapleson-Higgins Models. Model Parameters Sensitivity Study. Model Fitting for Drug Concentrations in Tissues and Blood Pools. Model Reduction Analysis Using Balanced Realization Techniques. Model Extension to Pharmacodynamics. Closed-Loop Control of Drug Administration.
A Hybrid Systems Approach to Modeling and Control of Unconsciousness Via Blood Pressure Measurements ? Mean Arterial Pressure (MAP) Physiological Model Associated with Isoflurane. Unconstrained and Constrained Predictive Control Using the Quadratic Programming (QP) Approach.Simulation Results. Real Time Experiments. A Review of Faults Associated with the Anaesthesia Control System. The Intelligent Hierarchical Supervisory Level: Structure and Algorithm. Results of Experiments.
Advanced Signal Processing and Control in Anaesthesia ? Alternative Assessment Tools of Depth of Anaesthesia (DOA). Auditory Evoked Potential (AEP). Development of a New Fuzzy Relational Classifier for DOA. Patients and Drug Pharmacology of Propofol and Remifentanil. A Hybrid Patient Model. Fuzzy Control of DOA.
Part 2: Patient/Ventilator Modeling in Intensive Care Units (ICU)
Intelligent Modeling of Patient-Ventilator Interactions in? GeneralICU ? Artificial Ventilation in ICU. The Simulation of Patient Ventilation (SOPAVENT) Model and Its? Extensions.
An Intelligent Advisory System for Intensive Care Ventilators ??Development of the Top-Level Knowledge-Based Module. Development of the Lower-Level Model-Based Module. System Integration and Validation.
Part 3: Modeling Subjects Under Physical Stress
A Generic Grey-Box Model for the Cardio-Vascular System of Subjects Experiencing Physical Stress ? Background Relating to Human Physiology. Experimental Set-Up. The Luczak-Based Closed-Loop Model.
Model Extension Including Thermoregulation and Brain Activity via EEG and Feedback Control ? First Extension of the Model. Second Extension of the Model. A Generic Model. Exploitation of the Model to Include Feedback Control.
Conclusions.
商品描述(中文翻譯)
描述:
本書作為醫學與工程之間的橋樑,提供了對生物醫學產業中新智能系統的分析、設計和應用的詳細理解。書中涵蓋了生物醫學應用的三個主要領域,包括人類麻醉的建模與控制、重症監護病人的決策支持,以及承受身體工作負荷壓力的人類建模。
您將找到有關麻醉中的信號處理、麻醉的系統建模與反饋自適應控制、使用系統工程的生理建模的模型簡化、在危急和生命威脅環境中基於智能系統的決策支持系統的設計,以及混合建模(結合智能系統結構與物理模型)的專家指導。本書還描述了通過手術期間的血壓測量來監控和閉環控制麻醉。此外,您將學習一種新的系統工程方法,通過與麻醉藥物相關的藥物動力學/藥效學研究來建模人類生理。
關於智能技術在醫學中的應用調查 - 醫療領域中的智能控制與監控。智能控制技術。生物醫學分析的智能技術。討論與結論。本書結構。
目錄:
第一部分:麻醉療法
使用基於模型的預測控制進行肌肉鬆弛和無意識的多變量反饋控制 - 與肌肉鬆弛過程相關的生理背景。肌肉鬆弛劑的區隔建模。肌肉鬆弛的自適應預測控制。麻醉的多變量模型。多變量控制系統的回顧。
針對複雜生理基礎藥物模型的模型簡化的新通用方法 - 與芬太尼和哌替啶相關的藥物動力學。Mapleson-Higgins模型的動態表示。模型參數靈敏度研究。組織和血液池中藥物濃度的模型擬合。使用平衡實現技術的模型簡化分析。藥效學的模型擴展。藥物給藥的閉環控制。
通過血壓測量對無意識的建模與控制的混合系統方法 - 與異氟醚相關的平均動脈壓(MAP)生理模型。使用二次規劃(QP)方法的無約束和有約束預測控制。模擬結果。實時實驗。麻醉控制系統相關故障的回顧。智能分層監控級別:結構與算法。實驗結果。
麻醉中的先進信號處理與控制 - 麻醉深度(DOA)的替代評估工具。聽覺誘發電位(AEP)。為DOA開發新的模糊關係分類器。病人及藥物的丙泊酚和瑞芬太尼藥理學。混合病人模型。DOA的模糊控制。
第二部分:重症監護病房(ICU)中的病人/呼吸器建模
病人-呼吸器互動的智能建模 - 一般ICU - ICU中的人工通氣。病人通氣模擬(SOPAVENT)模型及其擴展。
重症監護呼吸器的智能諮詢系統 - 高層知識基模塊的開發。低層基於模型的模塊的開發。系統集成與驗證。
第三部分:在身體壓力下的受試者建模
經歷身體壓力的受試者心血管系統的通用灰箱模型 - 與人類生理相關的背景。實驗設置。基於Luczak的閉環模型。
包括通過EEG和反饋控制的體溫調節和腦活動的模型擴展 - 模型的第一次擴展。模型的第二次擴展。一個通用模型。利用模型來包括反饋控制。
結論。