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柔性 3D 打印 EEG 电极。

Flexible 3D-Printed EEG Electrodes.

机构信息

School of Electrical and Electronic Engineering, The University of Manchester, Manchester M13 9PL, UK.

Centre for Doctoral Training in Sensor Technologies and Application, Department of Chemical Engineering and Biotechnology, University of Cambridge, Cambridge CB2 1TN, UK.

出版信息

Sensors (Basel). 2019 Apr 6;19(7):1650. doi: 10.3390/s19071650.

DOI:10.3390/s19071650
PMID:30959912
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC6480229/
Abstract

For electroencephalography (EEG) in haired regions of the head, finger-based electrodes have been proposed in order to part the hair and make a direct contact with the scalp. Previous work has demonstrated 3D-printed fingered electrodes to allow personalisation and different configurations of electrodes to be used for different people or for different parts of the head. This paper presents flexible 3D-printed EEG electrodes for the first time. A flexible 3D printing element is now used, with three different base mechanical structures giving differently-shaped electrodes. To obtain improved sensing performance, the silver coatings used previously have been replaced with a silver/silver-chloride coating. This results in reduced electrode contact impedance and reduced contact noise. Detailed electro-mechanical testing is presented to demonstrate the performance of the operation of the new electrodes, particularly with regards to changes in conductivity under compression, together with on-person tests to demonstrate the recording of EEG signals.

摘要

对于头部有毛发的区域的脑电图（EEG），已经提出了基于手指的电极，以便分开头发并直接与头皮接触。以前的工作已经证明 3D 打印的指状电极可以实现个性化，并可以使用不同的电极配置用于不同的人或头部的不同部位。本文首次提出了用于 EEG 的柔性 3D 打印电极。现在使用了一种柔性 3D 打印元件，具有三种不同的基础机械结构，可形成不同形状的电极。为了获得更好的传感性能，以前使用的银涂层已被银/氯化银涂层取代。这导致电极接触阻抗降低和接触噪声降低。详细的机电测试用于演示新电极的操作性能，特别是在压缩下的电导率变化方面，以及人体测试以证明 EEG 信号的记录。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8c7d/6480229/f17521fa4317/sensors-19-01650-g011.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8c7d/6480229/7f35e31bc198/sensors-19-01650-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8c7d/6480229/088aa668aa5f/sensors-19-01650-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8c7d/6480229/9857b7771590/sensors-19-01650-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8c7d/6480229/6c8c122703c6/sensors-19-01650-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8c7d/6480229/4ee21f3f7735/sensors-19-01650-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8c7d/6480229/c417ba2ac49c/sensors-19-01650-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8c7d/6480229/1531095542f5/sensors-19-01650-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8c7d/6480229/2e73f0915043/sensors-19-01650-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8c7d/6480229/337625fae18f/sensors-19-01650-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8c7d/6480229/96f9bb3667c4/sensors-19-01650-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8c7d/6480229/f17521fa4317/sensors-19-01650-g011.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8c7d/6480229/7f35e31bc198/sensors-19-01650-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8c7d/6480229/088aa668aa5f/sensors-19-01650-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8c7d/6480229/9857b7771590/sensors-19-01650-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8c7d/6480229/6c8c122703c6/sensors-19-01650-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8c7d/6480229/4ee21f3f7735/sensors-19-01650-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8c7d/6480229/c417ba2ac49c/sensors-19-01650-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8c7d/6480229/1531095542f5/sensors-19-01650-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8c7d/6480229/2e73f0915043/sensors-19-01650-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8c7d/6480229/337625fae18f/sensors-19-01650-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8c7d/6480229/96f9bb3667c4/sensors-19-01650-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8c7d/6480229/f17521fa4317/sensors-19-01650-g011.jpg

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本文引用的文献

1
Wearable EEG and beyond.可穿戴脑电图及其他。
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2
Carbon nanofiber-filled conductive silicone elastomers as soft, dry bioelectronic interfaces.碳纳米纤维填充的导电硅橡胶作为柔软的干式生物电子接口。
PLoS One. 2018 Feb 6;13(2):e0189415. doi: 10.1371/journal.pone.0189415. eCollection 2018.
3
3D Printed Dry EEG Electrodes.3D打印干式脑电图电极。
脑穿戴设备：耳级 EEG 传感器的验证工具包。
Sensors (Basel). 2024 Feb 15;24(4):1226. doi: 10.3390/s24041226.
4
The 3D Printing of Nanocomposites for Wearable Biosensors: Recent Advances, Challenges, and Prospects.用于可穿戴生物传感器的纳米复合材料的3D打印：最新进展、挑战与前景
Bioengineering (Basel). 2023 Dec 27;11(1):32. doi: 10.3390/bioengineering11010032.
5
Flower electrodes for comfortable dry electroencephalography.用于舒适干脑电图的花形电极。
Sci Rep. 2023 Oct 3;13(1):16589. doi: 10.1038/s41598-023-42732-8.
6
Fully 3D-Printed Dry EEG Electrodes.全 3D 打印干 EEG 电极。
Sensors (Basel). 2023 May 29;23(11):5175. doi: 10.3390/s23115175.
7
The Feature, Performance, and Prospect of Advanced Electrodes for Electroencephalogram.脑电图用先进电极的特点、性能与展望。
Biosensors (Basel). 2023 Jan 6;13(1):101. doi: 10.3390/bios13010101.
8
Real-time noise cancellation with deep learning.深度学习实时噪声消除。
PLoS One. 2022 Nov 21;17(11):e0277974. doi: 10.1371/journal.pone.0277974. eCollection 2022.
9
Application of 3D Printing Technology to Produce Hippocampal Customized Guide Cannulas.3D 打印技术在制作海马定制导向套管中的应用。
eNeuro. 2022 Sep 28;9(5). doi: 10.1523/ENEURO.0099-22.2022. Print 2022 Sep-Oct.
10
Fully printed and multifunctional graphene-based wearable e-textiles for personalized healthcare applications.用于个性化医疗保健应用的全印刷多功能石墨烯基可穿戴电子织物。
iScience. 2022 Feb 18;25(3):103945. doi: 10.1016/j.isci.2022.103945. eCollection 2022 Mar 18.
Sensors (Basel). 2016 Oct 2;16(10):1635. doi: 10.3390/s16101635.
4
Dry EEG electrodes.干式脑电图电极
Sensors (Basel). 2014 Jul 18;14(7):12847-70. doi: 10.3390/s140712847.
5
The influence of amplifier, interface and biological noise on signal quality in high-resolution EEG recordings.放大器、接口和生物噪声对高分辨率脑电图记录中信号质量的影响。
Physiol Meas. 2006 Feb;27(2):109-17. doi: 10.1088/0967-3334/27/2/002. Epub 2005 Dec 19.
6
Evaluation of commercially available electrodes and gels for recording of slow EEG potentials.用于记录慢脑电图电位的市售电极和凝胶的评估
Clin Neurophysiol. 2005 Apr;116(4):799-806. doi: 10.1016/j.clinph.2004.10.001. Epub 2004 Nov 23.