@inproceedings{0ce0bef8ecec463e8d481c4bf642e25e,
title = "Baseline Drift Detecti{\"u}n Index using Wavelet Transf{\"u}rm Analysis f{\"u}r tNIRS Signal",
abstract = "The general linear model (GLM) as a standard model for fMRI analysis has been applied to functional near-infrared spectroscopic (tNIRS) imaging analysis as weil. The GLM has drawback of failure in tNIRS signals, when they have drift globally. Wavelet based de-Trending technique is very popular to correct the baseline drift (BD) in tNIRS. However, this method globally distorted the total multichannel signals even if just one channel's signal was locally drifted. This paper suggests BD detection index to indicate BD as an objective index. The experiments show the performance of the proposed detection index as graphie results with current de-Trending algorithm.",
keywords = "Baseline drift detection, Detrending, FNIRS, Wavelet transform",
author = "Gihyoun Lee and Lee, {Seung Hyun} and Jin, {Sang Hyeon} and Jinung An",
year = "2017",
month = feb,
day = "16",
doi = "10.1109/IWW-BCI.2017.7858163",
language = "English",
series = "5th International Winter Conference on Brain-Computer Interface, BCI 2017",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "73--76",
booktitle = "5th International Winter Conference on Brain-Computer Interface, BCI 2017",
note = "5th International Winter Conference on Brain-Computer Interface, BCI 2017 ; Conference date: 09-01-2017 Through 11-01-2017",
}