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首页> 外文会议>Smart Medical and Biomedical Sensor Technology II; Progress in Biomedical Optics and Imaging; vol.5, no.32 >Motion artifact removal in FNIR spectroscopy for real world applications
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Motion artifact removal in FNIR spectroscopy for real world applications

机译：实际应用中FNIR光谱中的运动伪影去除

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摘要

Near infrared spectroscopy as a neuroimaging modality is a recent development. Near infrared neuroimagers are typically safe, portable, relatively affordable and non-invasive. The ease of sensor setup and non-intrusiveness make functional near infrared (fNIR) imaging an ideal candidate for monitoring human cortical function in a wide range of real world situations. However optical signals are susceptible to motion-artifacts, hindering the application of fNIR in studies where subject mobility cannot be controlled. In this paper, we present a filtering framework for motion-artifact cancellation to facilitate the deployment of fNIR imaging in real-world scenarios. We simulate a generic field environment by having subjects walk on a treadmill while performing a cognitive task and demonstrate that measurements can be effectively cleaned of motion-artifacts.
机译：近红外光谱作为一种神经影像学手段是最近的发展。近红外神经成像仪通常是安全，便携式，相对负担得起且无创的。易于设置的传感器和非侵入性使功能性近红外（fNIR）成像成为在各种现实世界中监视人体皮质功能的理想选择。但是，光信号容易受到运动伪影的影响，从而阻碍了fNIR在无法控制对象移动性的研究中的应用。在本文中，我们提出了一种运动伪影消除的过滤框架，以促进在实际场景中部署fNIR成像。我们通过让受试者在执行认知任务的情况下在跑步机上行走来模拟通用的野外环境，并证明可以有效清除运动伪影。

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