Cancellation of Superficial Blood Flow in Brain Function Measurements Using Near-Infrared Spectroscopy

Cancellation of Superficial Blood Flow in Brain Function Measurements Using Near-Infrared Spectroscopy
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使用近红外光谱法测量脑功能时浅表血流的消除

DOI:
10.1109/embc.2019.8857057
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发表时间:
2019
期刊:
2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)
影响因子:
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通讯作者:
Sato Daisuke
Sato Daisuke
中科院分区:
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文献类型:
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作者:
Fukuda Keiko;Motoyoshi Daisuke;Sato Daisuke

文献摘要

相似文献

在近红外光谱测量脑功能时,必须减小由浅表血流引起的信号波动。我们提出了一种等边三角形型传感器的安排,用于消除浅表血流,使用放置在三角形中心的短距离探测器。我们将独立分量分析(ICA)应用于该等边三角形结构,以提高校正效果。根据姿态变化测量运动伪影引起的血容量变化,并分析ICA的校正效果。结果表明,ICA比简单的减法更有效,且对测量条件的依赖较小,适用于等边三角形结构。
In brain function measurement by near-infrared spectroscopy, reduction of signal fluctuation caused by the superficial blood flow is necessary. We proposed an equilateral-triangle-type sensor arrangement for cancelling superficial blood flow using short-distance detectors placed at the center of the triangle. We applied the independent components analysis (ICA) for this equilateral triangle configuration to improve the correction effect. We measured the change in blood volume caused by the motion artifacts according to the posture change and analyzed the correction effect of the ICA. It is shown that the ICA is more effective than simple subtraction and has small dependence on the measurement conditions and is applicable to this equilateral triangle configuration.