Impact of Changes in Systemic Physiology on fNIRS/NIRS Signals: Analysis Based on Oblique Subspace Projections Decomposition.
Impact of Changes in Systemic Physiology on fNIRS/NIRS Signals: Analysis Based on Oblique Subspace Projections Decomposition.
复制标题
系统生理学变化对 fNIRS/NIRS 信号的影响：基于倾斜子空间投影分解的分析。
DOI：
10.1007/978-3-319-91287-5_19
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发表时间：
2018
影响因子：
--
通讯作者：
U. Wolf
中科院分区：
文献类型：
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作者：
Nassim Nasseri;A. Caicedo;F. Scholkmann;Hamoon Zohdi;U. Wolf
分别使用功能性近红外光谱（fNIRS）和近红外光谱（NIRS）测量脑和肌肉氧合（StO 2）和灌注（[tHb]）可能会受到全身生理学变化的影响。我们的研究的目的是应用斜子空间投影信号分解（OSPSD），以找到从全身生理，即心率（HR），心电图（ECG）衍生的呼吸（EDR）和二氧化碳分压（pCO 2）的StO 2和[tHb]信号测量的前额叶皮层（PFC）和小腿肌肉的贡献。OSPSD应用于来自两个fNIRS/NIRS语音研究的两个数据集（n1 = 42，n2 = 79个测量值）。我们发现，（i）所有StO 2和[tHb]信号均包含与全身生理学变化相关的成分，（ii）受试者之间全身生理学的贡献差异很大，（iii）全身生理学变化通常对左右PFC的fNIRS信号产生相似程度的影响。
Measurements of cerebral and muscle oxygenation (StO2) and perfusion ([tHb]) with functional near-infrared spectroscopy (fNIRS) and near infrared spectroscopy (NIRS), respectively, can be influenced by changes in systemic physiology. The aim of our study was to apply the oblique subspace projections signal decomposition (OSPSD) to find the contribution from systemic physiology, i.e. heart rate (HR), electrocardiography (ECG)-derived respiration (EDR) and partial pressure of carbon dioxide (pCO2) to StO2 and [tHb] signals measured on the prefrontal cortex (PFC) and calf muscle. OSPSD was applied to two datasets (n1 = 42, n2 = 79 measurements) from two fNIRS/NIRS speech studies. We found that (i) all StO2 and [tHb] signals contained components related to changes in systemic physiology, (ii) the contribution from systemic physiology varied strongly between subjects, and (iii) changes in systemic physiology generally influenced fNIRS signals on the left and right PFC to a similar degree.