Suppr超能文献

全 3D 打印干 EEG 电极。

Fully 3D-Printed Dry EEG Electrodes.

机构信息

School of Computer Science, The University of Sydney, Sydney, NSW 2006, Australia.

Department of Electronic and Telecommunication Engineering, University of Moratuwa, Moratuwa 10400, Sri Lanka.

出版信息

Sensors (Basel). 2023 May 29;23(11):5175. doi: 10.3390/s23115175.

Abstract

Electroencephalography (EEG) is used to detect brain activity by recording electrical signals across various points on the scalp. Recent technological advancement has allowed brain signals to be monitored continuously through the long-term usage of EEG wearables. However, current EEG electrodes are not able to cater to different anatomical features, lifestyles, and personal preferences, suggesting the need for customisable electrodes. Despite previous efforts to create customisable EEG electrodes through 3D printing, additional processing after printing is often needed to achieve the required electrical properties. Although fabricating EEG electrodes entirely through 3D printing with a conductive material would eliminate the need for further processing, fully 3D-printed EEG electrodes have not been seen in previous studies. In this study, we investigate the feasibility of using a low-cost setup and a conductive filament, Multi3D Electrifi, to 3D print EEG electrodes. Our results show that the contact impedance between the printed electrodes and an artificial phantom scalp is under 550 Ω, with phase change of smaller than -30∘, for all design configurations for frequencies ranging from 20 Hz to 10 kHz. In addition, the difference in contact impedance between electrodes with different numbers of pins is under 200 Ω for all test frequencies. Through a preliminary functional test that monitored the alpha signals (7-13 Hz) of a participant in eye-open and eye-closed states, we show that alpha activity can be identified using the printed electrodes. This work demonstrates that fully 3D-printed electrodes have the capability of acquiring relatively high-quality EEG signals.

摘要

脑电图(EEG)通过在头皮上的不同点记录电信号来检测大脑活动。最近的技术进步使得通过长期使用 EEG 可穿戴设备来连续监测脑信号成为可能。然而,目前的 EEG 电极无法适应不同的解剖特征、生活方式和个人喜好,这表明需要定制电极。尽管之前已经通过 3D 打印来创建定制化 EEG 电极做出了努力,但打印后通常需要额外的处理来实现所需的电气性能。虽然使用导电材料完全通过 3D 打印制造 EEG 电极可以消除进一步处理的需要,但在之前的研究中尚未看到完全 3D 打印的 EEG 电极。在本研究中,我们研究了使用低成本设置和导电丝 Multi3D Electrifi 来 3D 打印 EEG 电极的可行性。我们的结果表明,在 20 Hz 至 10 kHz 的所有设计配置下,打印电极与人工头皮之间的接触阻抗均低于 550 Ω,相位变化小于-30∘。此外,对于所有测试频率,具有不同引脚数的电极之间的接触阻抗差异均小于 200 Ω。通过对睁眼和闭眼状态下参与者的 alpha 信号(7-13 Hz)进行的初步功能测试,我们表明可以使用打印电极识别 alpha 活动。这项工作表明,完全 3D 打印的电极具有获取相对高质量 EEG 信号的能力。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/52d0/10255664/5ad696b19424/sensors-23-05175-g001.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验