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加工方法对老年人主动行走任务中 fNIRS 信号的影响。

Effects of Processing Methods on fNIRS Signals Assessed During Active Walking Tasks in Older Adults.

出版信息

IEEE Trans Neural Syst Rehabil Eng. 2020 Mar;28(3):699-709. doi: 10.1109/TNSRE.2020.2970407. Epub 2020 Feb 12.

Abstract

Functional near infrared spectroscopy (fNIRS) is a noninvasive optics-based neuroimaging modality successfully applied to real-life settings. The technology uses light in the near infrared range (650-950nm) to track changes in oxygenated (HbO2) and deoxygenated hemoglobin (Hb) obtained from measured light intensity using light-tissue interaction principles. fNIRS data processing involves artifact removal and hemodynamic signal conversion using modified Beer-Lambert law (MBLL) to obtain Hb and HbO2, reliably. fNIRS signals can get contaminated by various noise sources of physiological and non-physiological origins. Various algorithms have been proposed for the elimination of artifacts from frequency selective filters to blind source separation methods. Hemodynamic signal extraction using raw intensity measurements at multiple wavelengths based on MBLL usually involves apriori knowledge of certain conversion parameters such as molar extinction coefficients ( ε ) and differential path length factor (DPF). Different sets of conversion parameters dependent upon wavelength, chromophores, and age have been reported. Variation in processing algorithms and parameters can cause differences in Hb and HbO2 extraction which can in turn change study outcomes. Using fNIRS, we have previously shown significant increases in oxygenation in the prefrontal cortex from Single-Task-Walking (STW) to Dual-task-Walking (DTW) conditions in older adults due to greater cognitive demands inherent in the latter condition. In the current study, we re-analyzed our data and determined that although using different conversion parameters i.e. ε and age dependent DPF and filter cut-off frequencies at 0.14 and 0.08Hz including those designed to remove confounding effects of Mayer waves had caused some linear increases or decreases on the extracted Hb and HbO2 signals, those effects were minimal in task related comparisons and hence, the overall study outcomes.

摘要

功能近红外光谱(fNIRS)是一种非侵入性基于光学的神经影像学模态,已成功应用于现实环境。该技术使用近红外光(650-950nm),根据光与组织的相互作用原理,通过测量光强度来跟踪含氧血红蛋白(HbO2)和去氧血红蛋白(Hb)的变化。fNIRS 数据处理涉及使用修正的 Beer-Lambert 定律(MBLL)去除伪影并转换血液动力学信号,以可靠地获得 Hb 和 HbO2。fNIRS 信号可能会受到各种生理和非生理来源的噪声源的污染。已经提出了各种算法来消除从频率选择滤波器到盲源分离方法的伪影。基于 MBLL 使用多个波长的原始强度测量值提取血液动力学信号通常需要某些转换参数的先验知识,例如摩尔消光系数(ε)和差分路径长度因子(DPF)。已经报道了依赖于波长、发色团和年龄的不同转换参数集。处理算法和参数的变化会导致 Hb 和 HbO2 提取的差异,从而改变研究结果。使用 fNIRS,我们之前已经表明,由于后者条件固有的更高认知需求,老年人从单任务行走(STW)到双任务行走(DTW)条件下,前额叶皮层的氧合作用显著增加。在当前的研究中,我们重新分析了我们的数据,并确定尽管使用了不同的转换参数,即 ε 和年龄相关的 DPF 和滤波器截止频率为 0.14 和 0.08Hz,包括旨在消除 Mayer 波干扰效应的那些参数,对提取的 Hb 和 HbO2 信号有一些线性增加或减少,但这些影响在任务相关比较中很小,因此整体研究结果没有改变。

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