Model-based management of cardiovascular failure: Where medicine and control systems converge

Cardiovascular; Control systems; Critical care; ICU; Identifiability; Intensive care; System identification; Intensive care units; Religious buildings; Automation and controls; Cardio-vascular disease; Cardiovascular failures; Model-based management; Identification (control systems)

Abstract :

[en] Cardiovascular disease is growing epidemically worldwide, multiplying the impact of increasingly aging populations on intensive care unit (ICU) demand. It is the leading cause of ICU admission, length of stay, mortality and, as a result, cost. Hence, there is a significant need to bring the gains in productivity enabled by automation and control systems technologies, which have arisen in so many sectors, to medicine and this field in particular. This review presents the background to the problem and the main issues arising in care from a control systems technology perspective. It then presents a vision of a more automated future with specific goals in the areas of dynamic systems modelling, system identification and control. These areas are reviewed, followed by specific recommendations for the field, where control systems expertise can be leveraged to best advantage. © 2019

Disciplines :

Anesthesia & intensive care

Author, co-author :

Desaive, Thomas ; Université de Liège - ULiège > Département d'astrophys., géophysique et océanographie (AGO) > Thermodynamique des phénomènes irréversibles

Horikawa, O.; Departamento de Engenharia Mecatrônica e de Sistemas Mecânicos, University of São Paulo, São Paulo, Brazil

Ortiz, J. P.; Departamento de Engenharia Mecânica, University of São Paulo, São Paulo, Brazil

Chase, J. G.; Mechanical Engineering, Centre of Bio-Engineering, University of Canterbury, Christchurch, New Zealand

Language :

English

Title :

Model-based management of cardiovascular failure: Where medicine and control systems converge

Publication date :

2019

Journal title :

Annual Reviews in Control

ISSN :

1367-5788

Publisher :

Elsevier Ltd

Peer reviewed :

Peer Reviewed verified by ORBi

Available on ORBi :

since 24 May 2019

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