Self-calibrating total-mass controller for the neuromuscular blockade matching the anesthesiologists' mindset

• Tipo: Artigo em Livro de Atas de Conferência Internacional
• Data: 2013

Autores

Luis A Paz (Autor) Outra; Margarida M Silva (Autor) Outra; Simao Esteves (Autor) Outra; Teresa Mendonca (Autor) FCUP

Ata de Conferência Internacional

Título: 2013 21ST MEDITERRANEAN CONFERENCE ON CONTROL AND AUTOMATION (MED)

Páginas: 723-728

21st Mediterranean Conference on Control and Automation (MED)

Platanias, GREECE, JUN 25-28, 2013

Indexação

ISI Web of Knowledge - 2 Citações

Scopus - 4 Citações

Classificação Científica

FOS: Ciências da engenharia e tecnologias > Engenharia electrotécnica, electrónica e informática

Outras Informações

ID Authenticus: P-008-EXY

DOI: 10.1109/med.2013.6608803

Abstract (EN): A self-calibrating total-mass controller for the neuromuscular blockade (NMB) based on the minimally parameterized parsimonious (MPP) Wiener model is presented. Using input-output data collected from the initial bolus administration until recovery, the parameters of the MPP model that are used for the controller design are chosen from a set of fifty realistic models for the effect of the muscle relaxant rocuronium in the NMB. In order to overcome modeling uncertainties a numeric self-calibration of the parameters in the MPP model nonlinearity was implemented. This step matches the anesthesiologists' mindset. The controller was extensively tested in simulation and in real cases. The good reference tracking results show the reliability of the proposed strategy and supports its use in the clinical practice.

Idioma: Inglês

Tipo (Avaliação Docente): Científica

Nº de páginas: 6