Closed-Loop Control of Anesthesia: Survey on Actual Trends, Challenges and Perspectives

IEEE Access

Martine Neckebroek¹  Cristina Muresan²  Dana Copot³  Mihaela Ghita³ 

[1] Department of Anesthesia, Ghent University Hospital, Ghent, Belgium;Department of Automation, Technical University of Cluj-Napoca, Cluj-Napoca, Romania;Department of Electromechanical, Systems and Metal Engineering, Research Group of Dynamical Systems and Control, Ghent University, Ghent, Belgium;

关键词: Closed-loop control;    drug-delivery control;    anesthesia;    (semi-)automated anesthesia delivery;    cyber physical medical systems;    decision support systems;   

DOI  :  10.1109/ACCESS.2020.3037725

来源: DOAJ

【 摘 要 】

Automation empowers self-sustainable adaptive processes and personalized services in many industries. The implementation of the integrated healthcare paradigm built on Health 4.0 is expected to transform any area in medicine due to the lightning-speed advances in control, robotics, artificial intelligence, sensors etc. The two objectives of this article, as addressed to different entities, are: i) to raise awareness throughout the anesthesiologists about the usefulness of integrating automation and data exchange in their clinical practice for providing increased attention to alarming situations, ii) to provide the actualized insights of drug-delivery research in order to create an opening horizon towards precision medicine with significantly improved human outcomes. This article presents a concise overview on the recent evolution of closed-loop anesthesia delivery control systems by means of control strategies, depth of anesthesia monitors, patient modelling, safety systems, and validation in clinical trials. For decades, anesthesia control has been in the midst of transformative changes, going from simple controllers to integrative strategies of two or more components, but not achieving yet the breakthrough of an integrated system. However, the scientific advances that happen at high speed need a modern review to identify the current technological gaps, societal implications, and implementation barriers. This article provides a good basis for control research in clinical anesthesia to endorse new challenges for intelligent systems towards individualized patient care. At this connection point of clinical and engineering frameworks through (semi-) automation, the following can be granted: patient safety, economical efficiency, and clinicians' efficacy.

【 授权许可】

Unknown