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Balázs Benyó
Researcher at Budapest University of Technology and Economics
Publications - 178
Citations - 1906
Balázs Benyó is an academic researcher from Budapest University of Technology and Economics. The author has contributed to research in topics: Intensive care & Computer science. The author has an hindex of 20, co-authored 170 publications receiving 1635 citations. Previous affiliations of Balázs Benyó include Szent István University & Széchenyi István University.
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Journal ArticleDOI
Next-generation, personalised, model-based critical care medicine: a state-of-the art review of in silico virtual patient models, methods, and cohorts, and how to validation them
J. Geoffrey Chase,Jean-Charles Preiser,Jennifer L. Dickson,Antoine Pironet,Yeong Shiong Chiew,Christopher G. Pretty,Geoffrey M. Shaw,Balázs Benyó,Knut Moeller,Soroush Safaei,Merryn H. Tawhai,Peter Hunter,Thomas Desaive +12 more
TL;DR: In this paper, a review examines the models and methods used to create virtual patients and how these virtual patients can be used in silico to test different protocols or interventions, or in real-time to guide care.
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Safety, efficacy and clinical generalization of the STAR protocol: a retrospective analysis
Kent W. Stewart,Christopher G. Pretty,Hamish Tomlinson,Felicity Louise Thomas,Jozsef Homlok,Szabó Némedi Noémi,A. Illyés,Geoffrey M. Shaw,Balázs Benyó,J. Geoffrey Chase +9 more
TL;DR: STAR outperformed its predecessor, SPRINT, by providing higher nutrition and equally safe, effective control for all the days of patient stay, while lowering the number of measurements and interventions required.
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An open architecture patient monitoring system using standard technologies
TL;DR: An approach to patient monitoring was developed and implemented based on an existing industry standard communication network, using standard hardware components and software technologies, and offers scalability, standard interfaces, and flexible signal interpretation possibilities.
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Cascade Control for Telerobotic Systems Serving Space Medicine
TL;DR: In this article, the authors investigated the feasibility of a more straight-forward, classical control solution based on Kessler's Extended Symmetrical Method, formulated in a cascade control approach to tackle the problems caused by latency and uncertainties in a modeled telesurgical robot system.
Journal Article
Controller Design Solutions for Long Distance Telesurgical Applications
TL;DR: A case study investigating solution for handling large delays during real-time teleoperation of a remote surgical robot and the use of PID–fuzzy controllers to improve the control system performance is presented.