The first results of systems identification methods for fMRI data
1.
SYSNO ASEP
0331809
Druh ASEP
C - Konferenční příspěvek (mezinárodní konf.)
Zařazení RIV
D - Článek ve sborníku
Název
The first results of systems identification methods for fMRI data
Překlad názvu
Použití metod identifikace pro fMRI data
Tvůrce(i)
Tauchmanová, Jana (UTIA-B) Hromčík, Martin (UTIA-B)
Zdroj.dok.
PROCEEDINGS of the 17th International Conference on Process Control 2009. - Bratislava : Slovak University of Technology in Bratislava Institute of Information Engineering, Automation, and Mathematics, 2009 / M. Fikar and M. Kvasnica
- ISBN 978-80-227-3081-5
Rozsah stran
s. 194-199
Poč.str.
6 s.
Akce
17th International Conference on Process Control 2009
Datum konání
09.06.2009-12.06.2009
Místo konání
Hotel Baník, Štrbské Pleso,
Země
SK - Slovensko
Typ akce
WRD
Jazyk dok.
eng - angličtina
Země vyd.
SK - Slovensko
Klíč. slova
Subspace identification methods ; MIMO system ; DCM analysis
Vědní obor RIV
BC - Teorie a systémy řízení
CEP
1M0567 GA MŠMT - Ministerstvo školství, mládeže a tělovýchovy
CEZ
AV0Z10750506 - UTIA-B (2005-2011)
Anotace
The main goal of this paper is using identification methods as a certain alternative to Dynamic Casual Modeling (DCM) analysis which detects the so-called intrinsic connections among selected brain areas. In recent years it has been shown that the similar problems, as there appear in functional Magnetic Resonance Imaging(fMRI) area, are formulated in dynamic system identification and estimation tasks. The subspace identification methods were chosen for this identification procedure because they prove good results for Multiple Input Multiple Output (MIMO) systems identification. These methods produce state space description of identified system [2]. The main part of this paper deals with the quality of identification results depending on some important data parameters. Consequently the processing of final state space description into more suitable form follows.
