Baseline drift detection index using wavelet transform analysis for fNIRS signal

Gihyoun Lee, Seung Hyun Lee, S. Jin, J. An
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引用次数: 4

Abstract

The general linear model (GLM) as a standard model for fMRI analysis has been applied to functional near-infrared spectroscopic (fNIRS) imaging analysis as well. The GLM has drawback of failure in fNIRS signals, when they have drift globally. Wavelet based de-trending technique is very popular to correct the baseline drift (BD) in fNIRS. 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 graphic results with current de-trending algorithm.
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基于小波变换分析的fNIRS信号基线漂移检测指标
一般线性模型(GLM)作为功能磁共振成像分析的标准模型,也被应用于功能近红外光谱(fNIRS)成像分析。当近红外光谱信号有全局漂移时,GLM的缺点是失效。基于小波的去趋势技术是近红外光谱中常用的校正基线漂移的方法。然而,即使只有一个通道的信号局部漂移,这种方法也会导致整个多通道信号的全局失真。本文提出BD检测指标,以表明BD是一个客观指标。实验结果表明,在现有的去趋势算法下,所提出的检测指标表现为图形化结果。
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