Closed-Loop Control of Anesthesia: Survey on Actual Trends, Challenges and Perspectives
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 intell...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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IEEE
2020-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/9257370/ |
| _version_ | 1818431267300966400 |
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| author | Mihaela Ghita Martine Neckebroek Cristina Muresan Dana Copot |
| author_facet | Mihaela Ghita Martine Neckebroek Cristina Muresan Dana Copot |
| author_sort | Mihaela Ghita |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-12-14T15:46:35Z |
| format | Article |
| id | doaj.art-a7e3d11e50aa40b6a49ed5552454aab6 |
| institution | Directory Open Access Journal |
| issn | 2169-3536 |
| language | English |
| last_indexed | 2024-12-14T15:46:35Z |
| publishDate | 2020-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj.art-a7e3d11e50aa40b6a49ed5552454aab62022-12-21T22:55:28ZengIEEEIEEE Access2169-35362020-01-01820626420627910.1109/ACCESS.2020.30377259257370Closed-Loop Control of Anesthesia: Survey on Actual Trends, Challenges and PerspectivesMihaela Ghita0https://orcid.org/0000-0003-0391-3270Martine Neckebroek1Cristina Muresan2https://orcid.org/0000-0003-2301-4133Dana Copot3https://orcid.org/0000-0002-6010-830XDepartment of Electromechanical, Systems and Metal Engineering, Research Group of Dynamical Systems and Control, Ghent University, Ghent, BelgiumDepartment of Anesthesia, Ghent University Hospital, Ghent, BelgiumDepartment of Automation, Technical University of Cluj-Napoca, Cluj-Napoca, RomaniaDepartment of Electromechanical, Systems and Metal Engineering, Research Group of Dynamical Systems and Control, Ghent University, Ghent, BelgiumAutomation 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.https://ieeexplore.ieee.org/document/9257370/Closed-loop controldrug-delivery controlanesthesia(semi-)automated anesthesia deliverycyber physical medical systemsdecision support systems |
| spellingShingle | Mihaela Ghita Martine Neckebroek Cristina Muresan Dana Copot Closed-Loop Control of Anesthesia: Survey on Actual Trends, Challenges and Perspectives IEEE Access Closed-loop control drug-delivery control anesthesia (semi-)automated anesthesia delivery cyber physical medical systems decision support systems |
| title | Closed-Loop Control of Anesthesia: Survey on Actual Trends, Challenges and Perspectives |
| title_full | Closed-Loop Control of Anesthesia: Survey on Actual Trends, Challenges and Perspectives |
| title_fullStr | Closed-Loop Control of Anesthesia: Survey on Actual Trends, Challenges and Perspectives |
| title_full_unstemmed | Closed-Loop Control of Anesthesia: Survey on Actual Trends, Challenges and Perspectives |
| title_short | Closed-Loop Control of Anesthesia: Survey on Actual Trends, Challenges and Perspectives |
| title_sort | closed loop control of anesthesia survey on actual trends challenges and perspectives |
| topic | Closed-loop control drug-delivery control anesthesia (semi-)automated anesthesia delivery cyber physical medical systems decision support systems |
| url | https://ieeexplore.ieee.org/document/9257370/ |
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