EEG/MEG Kalman-like source estimation

Bria, Oscar N · SEDICI UNLP · 2003

Open-access full text

Quick overview. Review the resource’s basic details, then access the content using the main button. This page shows only the information needed to identify, cite, and open the work.

Author / responsible party

Bria, Oscar N

Publisher

SEDICI UNLP

Year

2003

Language

English

Resource access

Open the content from the main option or choose another available source.

SEDICI UNLP SEDICI UNLP OAI-PMH

Entrar por SEDICI UNLP

Main access

Open-access full text

Texto completo identificado como acceso abierto.

Open text

Summary

Descripción general del contenido del recurso.

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. Eje: Procesamiento de Señales Red de Universidades con Carreras en Informática (RedUNCI)

How to cite

Elegí el formato que necesitás y copiá la referencia al portapapeles.

APA 7

Bria, O. N. (2003). EEG/MEG Kalman-like source estimation. SEDICI UNLP. http://sedici.unlp.edu.ar/handle/10915/21512

MLA

Bria, Oscar N. EEG/MEG Kalman-like source estimation. SEDICI UNLP, 2003. http://sedici.unlp.edu.ar/handle/10915/21512.

Chicago

Bria, Oscar N. 2003. EEG/MEG Kalman-like source estimation. SEDICI UNLP. http://sedici.unlp.edu.ar/handle/10915/21512.

Harvard

Bria, O. N. 2003, EEG/MEG Kalman-like source estimation, SEDICI UNLP, available at: http://sedici.unlp.edu.ar/handle/10915/21512 [Accessed 7 Aug. 2026].

Share and print

Save the record, copy its permanent link, or print it as a PDF.

Export reference

You can export the record in common formats for use in a reference manager.

RIS BibTeX

Resource details

Bibliographic information to help confirm that this is the correct material.

Title: EEG/MEG Kalman-like source estimation

Author / contributors: Bria, Oscar N

Publisher: SEDICI UNLP

Publication year: 2003

Language: English

Subjects

Explore related resources through these subjects.

Ciencias Informáticas; EEG/MEG; source estimation; Signal processing