A reduced MIMO Wiener model for recursive identification of the depth of anesthesia

DOI10.1002/acs.2447zbMath1334.93175OpenAlexW1561765172MaRDI QIDQ2800921

Torbjörn Wigren, Teresa Mendonça, Margarida M. Silva

Publication date: 19 April 2016

Published in: International Journal of Adaptive Control and Signal Processing (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1002/acs.2447

zbMATH Keywords

recursive identificationreduced modelsanesthesiaWiener systemsbispectral indexstate entropy

Mathematics Subject Classification ID

Filtering in stochastic control theory (93E11) Estimation and detection in stochastic control theory (93E10) Medical applications (general) (92C50) Identification in stochastic control theory (93E12)

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Cites Work

• Recusrsive prediction error identification using the nonlinear Wiener model

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