Introduction of Closed-loop Control of Anesthesia

 

 

 

The main idea of closed-loop control of anesthesia is adjusting dose of anesthetics automatically to maintain the patient’s depth of anesthesia appropriately and hence provide good conditions for surgery. Realization of this idea will change the current situation that the anesthesia operation process mainly depends on the anesthesiologists’ experience. It can also improve the anesthesia control performance, make the patients more comfortable, save the anesthetic dosage, reduce the burden of anesthetic staffs and anesthesiologists, and optimize the human and material resources simultaneously.

With the development of anesthesia depth monitoring technologies and anesthesia process modeling technologies, fundamental obstacles to the closed-loop anesthesia control are being gradually cleared, and more and more investigators are entering this area. All achievements in this area can be roughly classified into three categories: the classic closed-loop control schemes, e.g. PID; the rule-based closed-loop control schemes, e.g. fuzzy control strategy and expert system, with the aid of clinical experience and intelligent method to establish the closed-loop drug management strategy; the model-based closed-loop control schemes, e.g. adaptive control, internal model control, model predictive control, and some other model-based control algorithms.

Our team started to work on the closed-loop anesthesia control since 2011. An enriched anesthesia simulator has been developed by our team and made freely available to public . Our major research interests in this field include: fault diagnosis and fault-tolerant system design for the closed-loop anesthesia process.

 

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