The first results of systems identification methods for fMRI data
1.
SYSNO ASEP
0331809
Document Type
C - Proceedings Paper (int. conf.)
R&D Document Type
Conference Paper
Title
The first results of systems identification methods for fMRI data
Title
Použití metod identifikace pro fMRI data
Author(s)
Tauchmanová, Jana (UTIA-B) Hromčík, Martin (UTIA-B)
Source Title
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
Pages
s. 194-199
Number of pages
6 s.
Action
17th International Conference on Process Control 2009
Event date
09.06.2009-12.06.2009
VEvent location
Hotel Baník, Štrbské Pleso,
Country
SK - Slovakia
Event type
WRD
Language
eng - English
Country
SK - Slovakia
Keywords
Subspace identification methods ; MIMO system ; DCM analysis
Subject RIV
BC - Control Systems Theory
R&D Projects
1M0567 GA MŠMT - Ministry of Education, Youth and Sports (MEYS)
CEZ
AV0Z10750506 - UTIA-B (2005-2011)
Annotation
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.
