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新型基于AIRTrode的可穿戴电极支持长期在线脑机接口操作。

Novel AIRTrode-based wearable electrode supports long-term, online brain-computer interface operations.

作者信息

H Liu Deland, Hsieh Ju-Chun, Alawieh Hussein, Kumar Satyam, Iwane Fumiaki, Pyatnitskiy Ilya, Ahmad Zoya J, Wang Huiliang, Millán José Del R

机构信息

Chandra Department of Electrical and Computer Engineering, Cockrell School of Engineering, The University of Texas at Austin, Austin 78712 TX, United States of America.

Department of Biomedical Engineering, Cockrell School of Engineering, The University of Texas at Austin, Austin 78712 TX, United States of America.

出版信息

J Neural Eng. 2025 Jan 7;22(1). doi: 10.1088/1741-2552/ad9edf.

Abstract

Non-invasive electroencephalograms (EEG)-based brain-computer interfaces (BCIs) play a crucial role in a diverse range of applications, including motor rehabilitation, assistive and communication technologies, holding potential promise to benefit users across various clinical spectrums. Effective integration of these applications into daily life requires systems that provide stable and reliable BCI control for extended periods. Our prior research introduced the AIRTrode, a self-adhesive (A), injectable (I), and room-temperature (RT) spontaneously-crosslinked hydrogel electrode (AIRTrode). The AIRTrode has shown lower skin-contact impedance and greater stability than dry electrodes and, unlike wet gel electrodes, does not dry out after just a few hours, enhancing its suitability for long-term application. This study aims to demonstrate the efficacy of AIRTrodes in facilitating reliable, stable and long-term online EEG-based BCI operations.In this study, four healthy participants utilized AIRTrodes in two BCI control tasks-continuous and discrete-across two sessions separated by six hours. Throughout this duration, the AIRTrodes remained attached to the participants' heads. In the continuous task, participants controlled the BCI through decoding of upper-limb motor imagery (MI). In the discrete task, the control was based on decoding of error-related potentials (ErrPs).Using AIRTrodes, participants demonstrated consistently reliable online BCI performance across both sessions and tasks. The physiological signals captured during MI and ErrPs tasks were valid and remained stable over sessions. Lastly, both the BCI performances and physiological signals captured were comparable with those from freshly applied, research-grade wet gel electrodes, the latter requiring inconvenient re-application at the start of the second session.AIRTrodes show great potential promise for integrating non-invasive BCIs into everyday settings due to their ability to support consistent BCI performances over extended periods. This technology could significantly enhance the usability of BCIs in real-world applications, facilitating continuous, all-day functionality that was previously challenging with existing electrode technologies.

摘要

基于非侵入式脑电图(EEG)的脑机接口(BCI)在包括运动康复、辅助和通信技术在内的各种应用中发挥着关键作用,有望为不同临床领域的用户带来益处。要将这些应用有效地融入日常生活,需要系统能够长时间提供稳定可靠的BCI控制。我们之前的研究推出了AIRTrode,一种自粘性(A)、可注射(I)且室温(RT)自发交联的水凝胶电极(AIRTrode)。与干电极相比,AIRTrode的皮肤接触阻抗更低且稳定性更高,并且与湿凝胶电极不同,它不会在几小时后变干,这增强了其长期应用的适用性。本研究旨在证明AIRTrode在促进可靠、稳定和长期的基于EEG的在线BCI操作方面的功效。在本研究中,四名健康参与者在两个BCI控制任务(连续和离散)中使用AIRTrode,这两个任务分两个阶段进行,中间间隔六小时。在整个过程中,AIRTrode一直附着在参与者的头部。在连续任务中,参与者通过对上肢体运动想象(MI)进行解码来控制BCI。在离散任务中,控制基于对错误相关电位(ErrP)的解码。使用AIRTrode,参与者在两个阶段和任务中都展现出持续可靠的在线BCI性能。在MI和ErrP任务期间捕获的生理信号是有效的,并且在各阶段保持稳定。最后,BCI性能和捕获的生理信号与新应用的研究级湿凝胶电极的性能和信号相当,而后者在第二阶段开始时需要不方便地重新应用。由于AIRTrode能够在较长时间内支持一致的BCI性能,因此它在将非侵入式BCI集成到日常环境中显示出巨大的潜力。这项技术可以显著提高BCI在实际应用中的可用性,促进连续的全天功能,而这在以前使用现有电极技术时具有挑战性。

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