@article{a2f83d76a13f4ec5b4b6fcfbbadaeb35,
title = "Impact of control on agitation-sedation dynamics",
abstract = "Agitation in the critically ill damages patient health and increases length of stay and healthcare costs. The control model presented captures the essential dynamics of the agitation-sedation system, and is statistically validated using recorded infusion data for 37 patients. Derivative focused control is seen to provide an essentially bolus-driven management approach, which is shown to be an effective means of managing agitation, given consistent agitation measurement. Improved agitation management using feedback of patient agitation reduces the modelled mean and peak agitation levels 68.4% and 52.9% on average, respectively, illustrating the effectiveness of simple control in this non-linear system.",
keywords = "Biomedical control, Non-linear dynamics, Patient agitation, PD controllers, Physiological models, Sedation administration",
author = "Rudge, {Andrew D.} and Chase, {J. Geoffrey} and Shaw, {Geoffrey M.} and Dominic Lee and Wake, {Graeme C.} and Hudson, {Irene L.} and Lucy Johnston",
note = "Funding Information: The authors wish to acknowledge Kathryn Greenfield and Richard Dove from the Medical Engineering and Physics Department at Christchurch Hospital, and Assoc. Prof. David Wall from the Department of Mathematics and Statistics at the University of Canterbury for their input to this work. Funding for this research was provided by the New Zealand Foundation for Research, Science and Technology through a Bright Futures Top Achiever Doctoral Scholarship, and by the Todd Foundation through the Award for Excellence.",
year = "2005",
month = sep,
doi = "10.1016/j.conengprac.2004.10.010",
language = "English",
volume = "13",
pages = "1139--1149",
journal = "Control Engineering Practice",
issn = "0967-0661",
publisher = "Elsevier Limited",
number = "9",
}