Kniha Nonlinear time varying model identification in ill-posed problems Eduardo Giraldo

Nonlinear time varying model identification in ill-posed problems

Jazyk: Angličtina
Vazba: Brožovaná
Vydavatel: Scholars' Press
Dostupnost: Skladem u dodavatele
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This work addresses the dynamical inverse problem of EEG source reconstruction by using two main app...

Informace o knize

Jazyk
Angličtina
Vazba
Kniha - Brožovaná
Vydáno
2014
Stránek
164
EAN
9783639712728
ISBN
3639712722
Enbook ID
06946188
Vydavatel
Hmotnost
249
Rozměry
152 x 229 x 10

Kompletní popis

This work addresses the dynamical inverse problem of EEG source reconstruction by using two main approaches: Dynamic Inverse Problem solution considering Time Varying and Time invariant Constraints, and Weighted Dynamic Inverse Problem solution. Discussed approach of representation comprises two main contributions: Firstly, the introduction of a discrete--time nonlinear model grounded on physiological considerations that explains better the dynamics of the brain neural activity. Secondly, the inclusion of estimation of time varying parameters that allows the enhancement of the nonlinear model, making it suitable for electroencephalographic source localization of such abnormal neuronal activity as epileptic seizures. The estimation that is performed using proposed nonlinear dynamic models with time varying parameters provides an improvement in terms of reconstruction error, if comparing with similar referred linear approximations.

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