Detailed Information

Cited 0 time in webofscience Cited 0 time in scopus
Metadata Downloads

Partial Least Squares-discriminant Analysis for the Prediction of Hemodynamic Changes Using Near Infrared Spectroscopy

Authors
Seo, YoungwookLee, SeungdukKoh, DalkwonKim, Beop-Min
Issue Date
Mar-2012
Publisher
OPTICAL SOC KOREA
Keywords
Near-infrared spectroscopy; Brain-computer interface; Partial least squares-discriminant analysis; Hidden Markov model
Citation
JOURNAL OF THE OPTICAL SOCIETY OF KOREA, v.16, no.1, pp.57 - 62
Indexed
SCIE
SCOPUS
KCI
Journal Title
JOURNAL OF THE OPTICAL SOCIETY OF KOREA
Volume
16
Number
1
Start Page
57
End Page
62
URI
https://scholar.korea.ac.kr/handle/2021.sw.korea/105409
DOI
10.3807/JOSK.2012.16.1.057
ISSN
1226-4776
Abstract
Using continuous wave near-infrared spectroscopy, we measured time-resolved concentration changes of oxy-hemoglobin and deoxy-hemoglobin from the primary motor cortex following finger tapping tasks. These data were processed using partial least squares-discriminant analysis (PLS-DA) to develop a prediction model for a brain-computer interface. The tasks were composed of a series of finger tapping for 15 sec and relaxation for 45 sec. The location of the motor cortex was confirmed by the anti-phasic behavior of the oxy- and deoxy-hemoglobin changes. The results were compared with those obtained using the hidden Markov model (HMM) which has been known to produce the best prediction model. Our data imply that PLS-DA makes better judgments in determining the onset of the events than HMM.
Files in This Item
There are no files associated with this item.
Appears in
Collections
Graduate School > Department of Bioengineering > 1. Journal Articles

qrcode

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

Altmetrics

Total Views & Downloads

BROWSE