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用于表征自发和事件相关脑电图信号的电势传感器与Ag/AgCl电极的比较研究。

A comparative study of electrical potential sensors and Ag/AgCl electrodes for characterising spontaneous and event related electroencephalagram signals.

作者信息

Fatoorechi M, Parkinson J, Prance R J, Prance H, Seth A K, Schwartzman D J

机构信息

Department of Engineering and Design, University of Sussex, Brighton BN1 9QJ, UK.

Sackler Centre for Consciousness Science, University of Sussex, Brighton BN1 9QJ, UK; School of Psychology, University of Sussex, Brighton BN1 9QH, UK.

出版信息

J Neurosci Methods. 2015 Aug 15;251:7-16. doi: 10.1016/j.jneumeth.2015.04.013. Epub 2015 May 1.

Abstract

BACKGROUND

Electroencephalography (EEG) is still a widely used imaging tool that combines high temporal resolution with a relatively low cost. Ag/AgCl metal electrodes have been the gold standard for non-invasively monitoring electrical brain activity. Although reliable, these electrodes have multiple drawbacks: they suffer from noise, such as offset potential drift, and usability issues, for example, difficult skin preparation and cross-coupling of adjacent electrodes.

NEW METHOD

In order to tackle these issues a prototype Electric Potential Sensor (EPS) device based on an auto-zero operational amplifier was developed and evaluated. The EPS is a novel active ultrahigh impedance capacitively coupled sensor. The absence of 1/f noise makes the EPS ideal for use with signal frequencies of ∼10Hz or less. A comprehensive study was undertaken to compare neural signals recorded by the EPS with a standard commercial EEG system.

RESULTS

Quantitatively, highly similar signals were observed between the EPS and EEG sensors for both free running and evoked brain activity with cross correlations of higher than 0.9 between the EPS and a standard benchmark EEG system.

COMPARISON WITH EXISTING METHOD(S): These studies comprised measurements of both free running EEG and Event Related Potentials (ERPs) from a commercial EEG system and EPS.

CONCLUSIONS

The EPS provides a promising alternative with many added benefits compared to standard EEG sensors, including reduced setup time and elimination of sensor cross-coupling. In the future the scalability of the EPS will allow the implementation of a whole head ultra-dense EPS array.

摘要

背景

脑电图(EEG)仍然是一种广泛使用的成像工具,它结合了高时间分辨率和相对较低的成本。银/氯化银金属电极一直是非侵入性监测脑电活动的金标准。尽管这些电极可靠,但存在多个缺点:它们会受到噪声影响,如偏移电位漂移,还存在可用性问题,例如皮肤准备困难以及相邻电极的交叉耦合。

新方法

为了解决这些问题,开发并评估了一种基于自动归零运算放大器的电位传感器(EPS)原型设备。EPS是一种新型的有源超高阻抗电容耦合传感器。不存在1/f噪声使得EPS非常适合用于频率约为10Hz或更低的信号。进行了一项全面研究,以比较EPS记录的神经信号与标准商用EEG系统记录的信号。

结果

在定量方面,对于自由运行和诱发的脑活动,EPS和EEG传感器之间观察到高度相似的信号,EPS与标准基准EEG系统之间的交叉相关性高于0.9。

与现有方法的比较

这些研究包括对来自商用EEG系统和EPS 的自由运行EEG以及事件相关电位(ERP)的测量。

结论

与标准EEG传感器相比,EPS提供了一个有前景的替代方案,具有许多额外的优点,包括减少设置时间和消除传感器交叉耦合。未来,EPS的可扩展性将允许实现全头超密集EPS阵列。

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