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Automation of anaesthesia: a review on multivariable control
Jing Jing Chang1, S Syafiie, Raja Kamil
1Department of Chemical and Environmental Engineering, Faculty of Engineering, Universiti Putra Malaysia, 43400 , Serdang, Selangor, Malaysia.
Journal of Clinical Monitoring and Computing
|June 26, 2014
Summary
Automating anesthesia involves challenges like model uncertainty and control. Advances in measurement devices and adaptive controllers are paving the way for safer, automated anesthesia delivery.
Area of Science:
- Anesthesiology and Biomedical Engineering
Background:
- Anesthesia involves complex drug combinations for hypnotic, analgesic, and immobility states.
- Automation of anesthesia delivery promises enhanced safety and cost-effectiveness.
- Current multivariable closed-loop anesthesia control faces significant challenges.
Purpose of the Study:
- To discuss key challenges hindering the automation of anesthesia.
- To highlight technological advancements enabling future anesthesia automation.
Main Methods:
- Discussion of challenges including model uncertainty, controlled variables, closed-loop application, and dependability.
- Review of enabling technologies such as reliable measurement devices, adaptive controllers, and fault tolerance strategies.
Main Results:
- Identified critical challenges in achieving safe and reliable automated anesthesia.
- Highlighted the role of technological progress in overcoming these hurdles.
Conclusions:
- Automation of anesthesia is a complex but achievable goal.
- Advancements in measurement, control, and fault tolerance are crucial for successful anesthesia automation.
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