Title :
Merging PK/PD information in a minimally parameterized model of the NeuroMuscular Blockade
Author :
da Silva, Miguel Mira ; Almeida, Juliana ; Wigren, Torbjörn ; Mendonça, Teresa
Author_Institution :
Fac. de Cienc., Univ. Porto, Porto, Portugal
fDate :
Aug. 31 2010-Sept. 4 2010
Abstract :
A recursive system identification algorithm that merges PK/PD information in a minimally parameterized Wiener model for the NMB level is presented. The results show that the coupling between one parameter from the linear block and one from the static nonlinearity is advantageous, when evaluated on a database of 60 real collected NMB cases.
Keywords :
Kalman filters; bioinformatics; drugs; electromyography; neuromuscular stimulation; stochastic processes; NMB level; PK/PD information merging; minimally parameterized Wiener model; neuromuscular blockade; recursive system identification algorithm; static nonlinearity; Correlation; Couplings; Covariance matrix; Databases; Drugs; Mathematical model; Muscles; Animals; Atracurium; Computer Simulation; Drug Therapy, Computer-Assisted; Humans; Metabolic Clearance Rate; Models, Neurological; Neuromuscular Blockade; Neuromuscular Junction; Neuromuscular Nondepolarizing Agents;
Conference_Titel :
Engineering in Medicine and Biology Society (EMBC), 2010 Annual International Conference of the IEEE
Conference_Location :
Buenos Aires
Print_ISBN :
978-1-4244-4123-5
DOI :
10.1109/IEMBS.2010.5626510
