Partial Least Squares-discriminant Analysis for the Prediction of Hemodynamic Changes Using Near Infrared Spectroscopy
- Authors
- Seo, Youngwook; Lee, Seungduk; Koh, Dalkwon; Kim, 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
Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.