Bayesian Filter Design for Computational Medicine

This book serves as a tutorial that explains how different state estimators (Bayesian filters) can be built when all or part of the observations are binary. The book begins by briefly motivating the need for point process state estimation followed by an introduction to the overall approach, as well...

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Autors principals:	Wickramasuriya, Dilranjan S., Faghih, Rose T.
Format:	Online
Idioma:	anglès
Publicat:	Springer Nature 2024
Matèries:	State-space estimation Bayesian filtering Bayesian decoder design Physiological decoders Mixed filters Biomedical signal processing Electrodermal activity analysis skin response signal processing Galvanic skin response signal Galvanic skin response processing Bayesian Filter Design neuroengineering Bayesian Filter Design computational medicine bayesian thema EDItEUR::P Mathematics and Science::PS Biology, life sciences::PSA Life sciences: general issues::PSAN Neurosciences thema EDItEUR::M Medicine and Nursing::MQ Nursing and ancillary services::MQW Biomedical engineering thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TJ Electronics and communications engineering::TJF Electronics engineering thema EDItEUR::U Computing and Information Technology::UY Computer science::UYS Digital signal processing (DSP) thema EDItEUR::P Mathematics and Science::PH Physics::PHV Applied physics::PHVN Biophysics
Accés en línia:	ONIX_20240416_9783031471049_33
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