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Efficient Detection and Reduction of Noise from Near-Infrared (NIR) Sensor and Improving the Spatial Resolution in Nano Sensor Applications

机译:高效检测和减少来自近红外(NIR)传感器的噪声,并提高纳米传感器应用中的空间分辨率

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Sustained progress has been made in the improvement of (NIRS) near infrared spectroscopy (NIRS) instruments and human tissue imaging. Recently, there has been growing interest in using the advantages of nanotechnology for outpatient of tissue oxygenation and hemodynamics monitoring. NIRS allows you to control muscle perfusion and oxygen saturation during contractions, which provides very good spatial resolution. The most commonly used approach for measuring NIRS signals is to use a pair of photo detectors and a near infrared LED. A NIRS wireless scheme with a stretchy optical sensor, suitable for both muscle and brain measurements, to provide an absolute measure of tissue oxygenation (tissue oxygenation index (TOI)) and measure the style of changes in the concentration of oxyhemoglobin (HbO2) and deoxyhemoglobin (HHb)). The goal of this work is to provide superior performance for source recovery and suppression of NIRS signal artifacts.
机译:在改进(NIRS)近红外光谱(NIRS)仪器和人体组织成像方面取得了持续的进展。最近,人们越来越关注将纳米技术的优势用于门诊患者的组织氧合和血液动力学监测。 NIRS使您可以控制收缩过程中的肌肉灌注和氧饱和度,从而提供了很好的空间分辨率。测量NIRS信号最常用的方法是使用一对光电探测器和一个近红外LED。具有弹性光学传感器的NIRS无线方案,适用于肌肉和大脑的测量,可提供组织氧合的绝对测量值(组织氧合指数(TOI)),并测量氧合血红蛋白(HbO2)和脱氧血红蛋白浓度的变化方式(HHb))。这项工作的目标是为信号源恢复和NIRS信号伪影的抑制提供卓越的性能。

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