EEG/MEG Kalman-like source estimation

The estimation of the instant location and strength of sources takes a considerable importance for many areas of sensor space-array processing, e.g., brain activity in non-invasive electro-medicine. State-space models are a well suited framework for solving that dynamic estimation problem and they...

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Detalles Bibliográficos
Autor principal: Bria, Oscar N.
Formato: Objeto de conferencia
Lenguaje:Inglés
Publicado: 2003
Materias:
Ciencias Informáticas
EEG/MEG
source estimation
Signal processing
Acceso en línea:http://sedici.unlp.edu.ar/handle/10915/21512
Aporte de:
SEDICI (UNLP) de Universidad Nacional de La Plata
id I19-R120-10915-21512
record_format dspace
institution Universidad Nacional de La Plata
institution_str I-19
repository_str R-120
collection SEDICI (UNLP)
language Inglés
topic Ciencias Informáticas
EEG/MEG
source estimation
Signal processing
spellingShingle Ciencias Informáticas
EEG/MEG
source estimation
Signal processing
Bria, Oscar N.
EEG/MEG Kalman-like source estimation
topic_facet Ciencias Informáticas
EEG/MEG
source estimation
Signal processing
description The estimation of the instant location and strength of sources takes a considerable importance for many areas of sensor space-array processing, e.g., brain activity in non-invasive electro-medicine. State-space models are a well suited framework for solving that dynamic estimation problem and they are in the core of our studies. Related to brain electrical activity, the state estimation problem can be solved by analyzing spatio-temporal data provided by EEG/MEG measures. Nonlinear Kalman-like filter is proposed for estimating locustemporal data related to electrical activity in the brain. The experimental framework is described.
format Objeto de conferencia
Objeto de conferencia
author Bria, Oscar N.
author_facet Bria, Oscar N.
author_sort Bria, Oscar N.
title EEG/MEG Kalman-like source estimation
title_short EEG/MEG Kalman-like source estimation
title_full EEG/MEG Kalman-like source estimation
title_fullStr EEG/MEG Kalman-like source estimation
title_full_unstemmed EEG/MEG Kalman-like source estimation
title_sort eeg/meg kalman-like source estimation
publishDate 2003
url http://sedici.unlp.edu.ar/handle/10915/21512
work_keys_str_mv AT briaoscarn eegmegkalmanlikesourceestimation
bdutipo_str Repositorios
_version_ 1764820464626040832

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