ESTIMATION OF NEURONAL ACTIVITY AND BRAIN DYNAMICS USING A DUAL KALMAN FILTER WITH PHYSIOLOGYCAL BASED LINEAR MODEL

In this research article a dynamic estimation of neuronal activity and brain dynamics from electroencephalographic (EEG) signals is presented using a dual Kalman filter. The dynamic model for brain behavior is evaluated using physiological-based linear models. Filter performance is analyzed for simu...

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Main Authors: Eduardo Giraldo, César G. Castellanos
Format: Article
Language:English
Published: Universidad de Medellín 2013-06-01
Series:Revista Ingenierías Universidad de Medellín
Subjects:
Online Access:http://www.scielo.org.co/scielo.php?script=sci_arttext&pid=S1692-33242013000100016&lng=en&tlng=en
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author Eduardo Giraldo
César G. Castellanos
author_facet Eduardo Giraldo
César G. Castellanos
author_sort Eduardo Giraldo
collection DOAJ
description In this research article a dynamic estimation of neuronal activity and brain dynamics from electroencephalographic (EEG) signals is presented using a dual Kalman filter. The dynamic model for brain behavior is evaluated using physiological-based linear models. Filter performance is analyzed for simulated and clinical EEG data, over several noise conditions. As a result a better performance on the solution of the dynamic inverse problem is achieved, in case of time varying parameters compared with the system with fixed parameters and the static case. An evaluation of computational load is performed when predicted dynamic cases, estimated using the Kalman filter, are up to ten times faster than the static case.
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spelling doaj.art-6ff88f6fba2c4a49b8acd82e89ba48bc2022-12-22T03:56:21ZengUniversidad de MedellínRevista Ingenierías Universidad de Medellín1692-33242013-06-011222169180S1692-33242013000100016ESTIMATION OF NEURONAL ACTIVITY AND BRAIN DYNAMICS USING A DUAL KALMAN FILTER WITH PHYSIOLOGYCAL BASED LINEAR MODELEduardo Giraldo0César G. Castellanos1Universidad Tecnológica de PereiraUniversidad Nacional de ColombiaIn this research article a dynamic estimation of neuronal activity and brain dynamics from electroencephalographic (EEG) signals is presented using a dual Kalman filter. The dynamic model for brain behavior is evaluated using physiological-based linear models. Filter performance is analyzed for simulated and clinical EEG data, over several noise conditions. As a result a better performance on the solution of the dynamic inverse problem is achieved, in case of time varying parameters compared with the system with fixed parameters and the static case. An evaluation of computational load is performed when predicted dynamic cases, estimated using the Kalman filter, are up to ten times faster than the static case.http://www.scielo.org.co/scielo.php?script=sci_arttext&pid=S1692-33242013000100016&lng=en&tlng=enProblema inversofiltro de Kalmanestimaciónmodelo fisológicomodelo del cerebro
spellingShingle Eduardo Giraldo
César G. Castellanos
ESTIMATION OF NEURONAL ACTIVITY AND BRAIN DYNAMICS USING A DUAL KALMAN FILTER WITH PHYSIOLOGYCAL BASED LINEAR MODEL
Revista Ingenierías Universidad de Medellín
Problema inverso
filtro de Kalman
estimación
modelo fisológico
modelo del cerebro
title ESTIMATION OF NEURONAL ACTIVITY AND BRAIN DYNAMICS USING A DUAL KALMAN FILTER WITH PHYSIOLOGYCAL BASED LINEAR MODEL
title_full ESTIMATION OF NEURONAL ACTIVITY AND BRAIN DYNAMICS USING A DUAL KALMAN FILTER WITH PHYSIOLOGYCAL BASED LINEAR MODEL
title_fullStr ESTIMATION OF NEURONAL ACTIVITY AND BRAIN DYNAMICS USING A DUAL KALMAN FILTER WITH PHYSIOLOGYCAL BASED LINEAR MODEL
title_full_unstemmed ESTIMATION OF NEURONAL ACTIVITY AND BRAIN DYNAMICS USING A DUAL KALMAN FILTER WITH PHYSIOLOGYCAL BASED LINEAR MODEL
title_short ESTIMATION OF NEURONAL ACTIVITY AND BRAIN DYNAMICS USING A DUAL KALMAN FILTER WITH PHYSIOLOGYCAL BASED LINEAR MODEL
title_sort estimation of neuronal activity and brain dynamics using a dual kalman filter with physiologycal based linear model
topic Problema inverso
filtro de Kalman
estimación
modelo fisológico
modelo del cerebro
url http://www.scielo.org.co/scielo.php?script=sci_arttext&pid=S1692-33242013000100016&lng=en&tlng=en
work_keys_str_mv AT eduardogiraldo estimationofneuronalactivityandbraindynamicsusingadualkalmanfilterwithphysiologycalbasedlinearmodel
AT cesargcastellanos estimationofneuronalactivityandbraindynamicsusingadualkalmanfilterwithphysiologycalbasedlinearmodel