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运动伪影对近红外光谱(NIRS)数据的影响及视频近红外光谱系统的提议

The Effect of Motion Artifacts on Near-Infrared Spectroscopy (NIRS) Data and Proposal of a Video-NIRS System.

作者信息

Satoh Masayuki, Okamoto Keisuke, Tabei Ken-Ichi, Kida Hirotaka, Tomimoto Hidekazu, Eda Hideo

机构信息

Dementia Prevention and Therapeutics, Graduate School of Medicine, Mie University, Tsu, Japan.

Department of Clinical Laboratory, Kinan Hospital, Mihama, Japan.

出版信息

Dement Geriatr Cogn Dis Extra. 2017 Nov 30;7(3):406-418. doi: 10.1159/000484519. eCollection 2017 Sep-Dec.

Abstract

AIMS

The aims of this study were (1) to investigate the influence of physical movement on near-infrared spectroscopy (NIRS) data, (2) to establish a video-NIRS system which simultaneously records NIRS data and the subject's movement, and (3) to measure the oxygenated hemoglobin (oxy-Hb) concentration change (Δoxy-Hb) during a word fluency (WF) task.

EXPERIMENT 1: In 5 healthy volunteers, we measured the oxy-Hb and deoxygenated hemoglobin (deoxy-Hb) concentrations during 11 kinds of facial, head, and extremity movements. The probes were set in the bilateral frontal regions. The deoxy-Hb concentration was increased in 85% of the measurements.

EXPERIMENT 2: Using a pillow on the backrest of the chair, we established the video-NIRS system with data acquisition and video capture software. One hundred and seventy-six elderly people performed the WF task. The deoxy-Hb concentration was decreased in 167 subjects (95%).

EXPERIMENT 3: Using the video-NIRS system, we measured the Δoxy-Hb, and compared it with the results of the WF task. Δoxy-Hb was significantly correlated with the number of words.

CONCLUSION

Like the blood oxygen level-dependent imaging effect in functional MRI, the deoxy-Hb concentration will decrease if the data correctly reflect the change in neural activity. The video-NIRS system might be useful to collect NIRS data by recording the waveforms and the subject's appearance simultaneously.

摘要

目的

本研究的目的是:(1)研究身体运动对近红外光谱(NIRS)数据的影响;(2)建立一个能同时记录NIRS数据和受试者运动情况的视频NIRS系统;(3)测量在词语流畅性(WF)任务期间氧合血红蛋白(oxy-Hb)浓度的变化(Δoxy-Hb)。

实验1:在5名健康志愿者中,我们测量了11种面部、头部和肢体运动过程中的氧合血红蛋白和脱氧血红蛋白(deoxy-Hb)浓度。探头置于双侧额叶区域。在85%的测量中,脱氧血红蛋白浓度升高。

实验2:我们在椅子靠背上放置一个枕头,利用数据采集和视频捕捉软件建立了视频NIRS系统。176名老年人进行了词语流畅性任务。167名受试者(95%)的脱氧血红蛋白浓度下降。

实验3:我们使用视频NIRS系统测量了Δoxy-Hb,并将其与词语流畅性任务的结果进行比较。Δoxy-Hb与词语数量显著相关。

结论

与功能磁共振成像中的血氧水平依赖成像效应一样,如果数据能正确反映神经活动的变化,脱氧血红蛋白浓度将会降低。视频NIRS系统可能有助于通过同时记录波形和受试者的外貌来收集NIRS数据。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6dda/5806157/447678b1001c/dee-0007-0406-g01.jpg

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