Development of an integrated control system for anaesthesia automation

This paper describes the architecture of a system that integrates several variables for automation of anaesthesia. The system is structured in two main units, one mainly concerned with feedback control and the other with supervision functions. For each block, the problems and the corresponding design methods are discussed.

[1]  A. Absalom,et al.  Closed-loop Control of Anesthesia Using Bispectral Index: Performance Assessment in Patients Undergoing Major Orthopedic Surgery under Combined General and Regional Anesthesia , 2002, Anesthesiology.

[2]  João Miranda Lemos,et al.  Control of neuromuscular blockade in the presence of sensor faults , 2005, IEEE Transactions on Biomedical Engineering.

[3]  Mahdi Mahfouf,et al.  Unconstrained and constrained generalised predictive control of depth of anaesthesia during surgery , 2003 .

[4]  K. Olkkola,et al.  Performance assessment of an adaptive model-based feedback controller: Comparison between atracurium, mivacurium, rocuronium and vecuronium , 1996, International journal of clinical monitoring and computing.

[5]  Jonathan P. Bowen,et al.  Formal Methods , 2010, Computing Handbook, 3rd ed..

[6]  Qin Wen.  Fault-tolerant supervisory control of discrete-event systems , 2009 .

[7]  M. Struys,et al.  Comparison of Closed-loop Controlled Administration of Propofol Using Bispectral Index as the Controlled Variable versus “Standard Practice” Controlled Administration , 2001, Anesthesiology.

[8]  Wassim M. Haddad,et al.  Paradigms, benefits, and challenges , 2005 .

[9]  P. Pelaia,et al.  Bispectral Index and Spectral Entropy in Neuroanesthesia , 2006, Journal of neurosurgical anesthesiology.

[10]  W. Haddad,et al.  Drug dosing control in clinical pharmacology , 2005, IEEE Control Systems.

[11]  Christian Walter Frei,et al.  Fault tolerant control concepts applied to anesthesia , 2000 .

[12]  Alfons Crespo,et al.  Embedded control systems: From design to implementation , 2007 .

[13]  Eiko Furutani,et al.  Computer control of physiological states of patients under and after surgical operation , 2005, Annu. Rev. Control..

[14]  Teresa Mendonça,et al.  PID control strategies for the automatic control of neuromuscular blockade , 1998 .

[15]  Derek A. Linkens,et al.  Self-Learning Fuzzy Control with Temporal Knowledge for Atracurium-Induced Neuromuscular Block during Surgery , 1999, Comput. Biomed. Res..

[16]  Manfred Morari,et al.  Modeling and closed-loop control of hypnosis by means of bispectral index (BIS) with isoflurane , 2001, IEEE Transactions on Biomedical Engineering.

[17]  Hugo Alonso,et al.  A hybrid method for parameter estimation and its application to biomedical systems , 2008, Comput. Methods Programs Biomed..

[18]  Raoul Praful Jetley,et al.  A formal methods approach to medical device review , 2006, Computer.

[19]  Pedro Amorim,et al.  Predictive Adaptive Control of the Bispectral Index of the EEG (BIS) - Using the Intravenous Anaesthetic Drug Propofol , 2006, KES.

[20]  Dwayne R. Westenskow,et al.  A Model-Based Self-Adjusting Two-Phase Controller for Vecuronium-Induced Muscle Relaxation Durng Anesthesia , 1987, IEEE Transactions on Biomedical Engineering.

[21]  Steven R. Rakitin,et al.  Coping with defective software in medical devices , 2006, Computer.