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Cross-correlation between HbO and HbR as an effective feature of motion artifact in fNIRS signal

Title
Cross-correlation between HbO and HbR as an effective feature of motion artifact in fNIRS signal
Authors
Lee, Ki HyunJin, Sang HyeonYang, Seung TaeAn, Jin UngAbibulaev, Berdakh
DGIST Authors
Lee, Ki Hyun; An, Jin Ung
Issue Date
2018-01-15
Citation
6th International Conference on Brain-Computer Interface, BCI 2018, 1-3
Type
Conference
ISBN
9781538625743
Abstract
The general linear model (GLM) as a standard model for fMRI analysis has been applied to fNIRS imaging analysis as well. The GLM is very likely to make false predictions for motion artifact in fNIRS signals. The temporal characteristics of normal cerebral hemodynamics are basically the opposite tendency of oxy-hemoglobin (HbO) and deoxy-hemoglobin (HbR). When motion artifact occurs, HbO and HbR are completely different from normal cases as the baseline changes. This paper presents a cross-correlation between HbO and HbR as a feature that can determine the dynamic noise of fNIRS. Since cross-correlation is a deterministic tool that is easy to calculate, it will be very useful for noise elimination if it is noted as a criterion of dynamic noise in fNIRS signals. © 2018 IEEE.
URI
http://hdl.handle.net/20.500.11750/6183
DOI
10.1109/IWW-BCI.2018.8311513
Publisher
Institute of Electrical and Electronics Engineers Inc.
Related Researcher
Files:
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Collection:
Convergence Research Center for Wellness2. Conference Papers
ETC2. Conference Papers


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