用近红外光谱识别人类痛觉

Lubna Tabassum Shuvra, Sheikh Md. Rabiul Islam, Nowrin Zaman, M. Hasan
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摘要

功能近红外光谱(fNIRs)是一种通过大脑皮层区域的血流动力学反应来测量大脑活动的无创、非体内技术。近红外光谱因其安全、无噪声采集和相对便宜而成为首选。人类的感知或感觉也是大脑中浓度变化的游戏,可以通过近红外光谱无创测量。这些来自物理或化学刺激的信号可以通过统计参数映射来研究,其中活动通道与MRI图像相结合。本研究的目的是利用近红外光谱研究人脑信号,并将其与脑解剖图像进行统计映射。建立人脑与痛觉的关系,并从可能区域找到主导通道。本文利用统计参数软件对近红外光谱数据进行处理、制图和估计。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Identification of Human Pain Perception using fNIRS
Functional near-infrared spectroscopy (fNIRs) is a noninvasive, invivo technique that measure the brain activity through hemodynamic response on cerebral cortex area. fNIR spectral is preferred for their safeties, noiseless acquisition and comparatively cheapness. Human perception or sensation are also a game of concentration changing in brain that can be measured noninvasively by NIR spectroscopy. These signals derive from physical or chemical stimuli can investigate by statistical parametric mapping where the active channels are integrated with that MRI image. The aim of this study is to investigate human brain signal via fNIR and merge it with anatomical brain image via statistical mapping. Establish the relationship between human brain and pain perception as well as find the dominant channel from probable area. Statistical parametric software is utilized here for processing, mapping and estimating NIRS data.
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