On Automation in Anesthesia Soltesz, Kristian 2013 Document Version: Publisher's PDF, also known as Version of record Link to publication Citation for published version (APA): Soltesz, K. (2013). On Automation in Anesthesia. [Doctoral Thesis (monograph), Department of Automatic Control]. Department of Automatic Control, Lund Institute of Technology, Lund University. Total number of authors: 1 General rights Unless other specific re-use rights are stated the following general rights apply: Copyright and moral rights for the publications made accessible in the public portal are retained by the authors and/or other copyright owners and it is a condition of accessing publications that users recognise and abide by the legal requirements associated with these rights. • Users may download and print one copy of any publication from the public portal for the purpose of private study or research. • You may not further distribute the material or use it for any profit-making activity or commercial gain • You may freely distribute the URL identifying the publication in the public portal Read more about Creative commons licenses: https://creativecommons.org/licenses/ Take down policy If you believe that this document breaches copyright please contact us providing details, and we will remove access to the work immediately and investigate your claim. LUND UNIVERSITY PO Box 117 221 00 Lund +46 46-222 00 00 On Automation in Anesthesia Kristian Soltész DepartmentofAutomaticControl Department of Automatic Control Lund University PO Box 118 SE-221 00 Lund Sweden PhD Thesis ISRN LUTFD2/TFRT--1096--SE ISSN 0280–5316 ISBN 978-91-7473-484-3 (cid:13)c 2013 by Kristian Soltész. All rights reserved. Printed in Sweden by Media-Tryck. Lund 2013 SzeretettNagytatámnak Abstract The thesis discusses closed-loop control of the hypnotic and the analgesic components of anesthesia. The objective of the work has been to develop a system which independently controls the intravenous infusion rates of the hypnotic drug propofol and analgesic drug remifentanil. The system is de- signed to track a reference hypnotic depth level, while maintaining adequate analgesia. This is complicated by inter-patient variability in drug sensitiv- ity, disturbances caused foremost by surgical stimulation, and measurement noise. A commercially available monitor is used to measure the hypnotic depthofthepatient,whileasimplesoftsensorestimatestheanalgesicdepth. Bothinductionandmaintenanceofanesthesiaareclosed-loopcontrolled,us- ingaPIDcontrollerforpropofolandaPcontrollerforremifentanil.Inorder to tune the controllers, patient models have been identified from clinical data, with body mass as only biometric parameter. Care has been taken to characterize identifiability and produce models which are safe for the in- tended application. A scheme for individualizing the controller tuning upon completion of the induction phase of anesthesia is proposed. Practical as- pects such as integrator anti-windup and loss of the measurement signal are explicitly addressed. The validity of the performance measures, most com- monly reported in closed-loop anesthesia studies, is debated and a new set of measures is proposed. It is shown, both in simulation and clinically, that PID control provides a viable approach. Both results from simulations and clinicaltrialsarepresented.Theseresultssuggestthatclosed-loopcontrolled anesthesia can be provided in a safe and efficient manner, relieving the reg- ulatory and server controller role of the anesthesiologist. However, outlier patient dynamics, unmeasurable disturbances and scenarios which are not considered in the controller synthesis, urge the presence of an anesthesiolo- gist. Closed-loop controlled anesthesia should therefore not be viewed as a replacement of human expertise, but rather as a tool, similar to the cruise controller of a car. 5 Acknowledgments ItiswiththedirectorindirecthelpfromseveralpersonsthatIhavecometo write this thesis. With the reservation of forgetting anyone of you, I would explicitly like to acknowledge the following persons. My supervisor professor Tore Hägglund has been ever supporting in my work. Your engagement and mentoring has meant a lot to me. You have always encouraged me and contributed to an atmosphere in which it has been truly enjoyable to work. You have also served as a role model, in a much broader context than that of automatic control. Professor Karl Johan Åström has been a great source of inspiration and has been the source of several key ideas around which I have worked. The administrative staff at the department, being Britt-Marie Mårtens- son, Ingrid Nilsson, Eva Schildt, Agneta Tuszynski, Eva Westin, Monika Rasmusson and Lizette Borgeram have all been very kind, knowledgeable and helpful. At the University of British Columbia I would like to acknowledge pro- fessor Guy Dumont and post doctoral fellows Jin-Oh Hahn and Klaske van Heusdenforintroducingmetoaninterestingresearchtopic.Iwouldalsolike to thank Dr. Mark Ansermino and the staff at the anesthesia department of the British Columbia Children’s Hospital in Vancouver. I would like to thank all fellow PhD students at the department for in- teresting discussions. In particular my former office mate Magnus Linderoth hasprovidedmaterialfordiscussionsofalmosteverything,includingrelevant topics. ResearchengineersRolfBraun,PontusAndersson,AndersBlomdell,Leif Andersson and Anders Nilsson have taught me many interesting things re- lated to computers, lab processes and workshop machines which I am sure will come to use regularly. Finally I would like to thank my wife Ingrid, my family and my friends in Lund and Vancouver. 7 Acknowledgments Financial Support The Swedish Research Council through the LCCC Linnaeus Center is grate- fully acknowledged for financial support. 8 Contents Preface 11 Motivation . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 11 Outline . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 16 1. Introduction 17 1.1 Clinical Anesthesia . . . . . . . . . . . . . . . . . . . . . . . 17 1.2 Drug Dosing Regimens . . . . . . . . . . . . . . . . . . . . . 25 1.3 The Traditional Patient Model . . . . . . . . . . . . . . . . . 31 2. Models for Control 41 2.1 Equipment Models . . . . . . . . . . . . . . . . . . . . . . . 41 2.2 Propofol Patient Model . . . . . . . . . . . . . . . . . . . . . 46 2.3 Remifentanil Patient Model . . . . . . . . . . . . . . . . . . 65 3. Control of Anesthesia 67 3.1 Performance Measures . . . . . . . . . . . . . . . . . . . . . 67 3.2 The iControl Study . . . . . . . . . . . . . . . . . . . . . . . 75 3.3 Simulation Studies . . . . . . . . . . . . . . . . . . . . . . . 84 3.4 Control of Analgesia . . . . . . . . . . . . . . . . . . . . . . 93 4. Discussion 102 4.1 Summary . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 102 4.2 Future Work . . . . . . . . . . . . . . . . . . . . . . . . . . . 103 References 105 Nomenclature 116 Symbols . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 116 Acronyms . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 121 9
Description: