Please use this identifier to cite or link to this item: https://doi.org/10.1109/ISBI.2011.5872804
Title: Extended general linear model based on-line brain activation mapping
Authors: Hu, X.-S.
Hong, K.-S.
Ge, S.S. 
Jeong, M.-Y.
Keywords: extended general linear model
extended Kalman particle filter
near infrared spectroscopy
on-line functional brain activation mapping
primary motor cortex
Issue Date: 2011
Source: Hu, X.-S.,Hong, K.-S.,Ge, S.S.,Jeong, M.-Y. (2011). Extended general linear model based on-line brain activation mapping. Proceedings - International Symposium on Biomedical Imaging : 2002-2005. ScholarBank@NUS Repository. https://doi.org/10.1109/ISBI.2011.5872804
Abstract: Near-infrared spectroscopy (NIRS) is a non-invasive neuroimaging technique that recently has been used to measure changes in cerebral blood oxygenation associated with brain activity. Numbers of research groups have applied general linear model (GLM) based method to analyze the NIRS data. However, classical GLM based method cannot provide on-line analysis. Therefore, its usage is constrained in processing NIRS data where real-time feedback is required. In the present paper, we are proposing a framework for NIRS based on-line brain activation mapping. The framework employs an extended GLM with coefficients updated by an extended Kalman particle filter for on-line brain activation mapping. A set of data recorded in a finger tapping experiment was studied using the proposed framework. The results so obtained, suggested that the method can effectively locate brain activation areas on-line with the noisy NIRS signal, thereby demonstrating its potential for real-time NIRS-based brain imaging applications. © 2011 IEEE.
Source Title: Proceedings - International Symposium on Biomedical Imaging
URI: http://scholarbank.nus.edu.sg/handle/10635/70264
ISBN: 9781424441280
ISSN: 19457928
DOI: 10.1109/ISBI.2011.5872804
Appears in Collections:Staff Publications

Show full item record
Files in This Item:
There are no files associated with this item.

Page view(s)

22
checked on Dec 9, 2017

Google ScholarTM

Check

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.