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运动过程中电缆摆动、电极表面积和电极质量对脑电图信号质量的影响。

Effects of Cable Sway, Electrode Surface Area, and Electrode Mass on Electroencephalography Signal Quality during Motion.

作者信息

Symeonidou Evangelia-Regkina, Nordin Andrew D, Hairston W David, Ferris Daniel P

机构信息

J. Crayton Pruitt Family Department of Biomedical Engineering, University of Florida, Gainesville, FL 32611, USA.

Max Planck Institute for Biological Cybernetics, 72076 Tübingen, Germany.

出版信息

Sensors (Basel). 2018 Apr 3;18(4):1073. doi: 10.3390/s18041073.

Abstract

More neuroscience researchers are using scalp electroencephalography (EEG) to measure electrocortical dynamics during human locomotion and other types of movement. Motion artifacts corrupt the EEG and mask underlying neural signals of interest. The cause of motion artifacts in EEG is often attributed to electrode motion relative to the skin, but few studies have examined EEG signals under head motion. In the current study, we tested how motion artifacts are affected by the overall mass and surface area of commercially available electrodes, as well as how cable sway contributes to motion artifacts. To provide a ground-truth signal, we used a gelatin head phantom with embedded antennas broadcasting electrical signals, and recorded EEG with a commercially available electrode system. A robotic platform moved the phantom head through sinusoidal displacements at different frequencies (0-2 Hz). Results showed that a larger electrode surface area can have a small but significant effect on improving EEG signal quality during motion and that cable sway is a major contributor to motion artifacts. These results have implications in the development of future hardware for mobile brain imaging with EEG.

摘要

越来越多的神经科学研究人员正在使用头皮脑电图(EEG)来测量人类运动及其他类型运动过程中的脑电动力学。运动伪迹会干扰脑电图并掩盖感兴趣的潜在神经信号。脑电图中运动伪迹的原因通常归因于电极相对于皮肤的移动,但很少有研究在头部运动情况下检测脑电图信号。在当前研究中,我们测试了市售电极的整体质量和表面积如何影响运动伪迹,以及电缆摆动如何导致运动伪迹。为了提供真实信号,我们使用了嵌入广播电信号天线的明胶头模型,并使用市售电极系统记录脑电图。一个机器人平台使模型头部以不同频率(0 - 2赫兹)进行正弦位移。结果表明,更大的电极表面积对改善运动期间的脑电图信号质量有微小但显著的影响,并且电缆摆动是运动伪迹的主要原因。这些结果对未来用于脑电图移动脑成像的硬件开发具有启示意义。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2306/5948545/bd61c05c085c/sensors-18-01073-g001.jpg

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