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Toward fabric-based EEG access technologies: Seamless knit electrodes for a portable brain-computer interface

机译:朝基于结构的EEG接入技术:便携式脑电脑界面的无缝针织电极

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Brain-computer interfaces represent a promising access method for communication and environmental interaction for individuals with profound physical disabilities. However, such systems are often large and obtrusive, limiting their practical use for daily communication. Fabric-based electrodes may offer an alternative which is wearable in naturalistic settings, enabling long-term use. We describe preliminary tests to measure and characterize EEG signals using novel fabric-based electrodes produced via seamless knitting and integrated into a comfortable headband. EEG signals were measured from five locations on the forehead, corresponding to locations in the international 10-20 system. Preliminary offline results demonstrated decreased alpha band power (7.5-12 Hz) while performing mental math compared to relaxation (both with eyes closed) in two participants. In further tests, we will investigate the ability to distinguish between mental tasks in real time. A fabric-based EEG headband could significantly impact the lives of individuals with communication disabilities by allowing an unobtrusive and comfortable means of communication through automated sensing of brain activity. The current study represents a preliminary assessment of signal quality and investigation of key characteristics distinguishable in the fabric-based EEG signal.
机译:脑电脑界面代表了具有深刻物理残疾个人的通信和环境互动的有希望的访问方法。然而,这种系统通常很大而令人突兀,限制了他们对日常通信的实际用途。基于织物的电极可以提供可穿着自然设定的替代方案,从而能够长期使用。我们描述了使用通过无缝针织产生的新型基于织物的电极测量和表征EEG信号的初步测试,并集成到舒适的头带中。从额头上的五个位置测量EEG信号,对应于国际10-20系统中的位置。初步的离线结果表明,与两个参与者中的放松(闭着眼睛)相比,alpha带电力(7.5-12 Hz)展示了alpha频段(7.5-12 Hz)。在进一步的测试中,我们将研究实时区分精神任务的能力。基于织物的EEG头带可以通过自动感测脑活动的自动感测,通过允许不引人注心和舒适的通信手段来显着影响个人的生活。目前的研究代表了对基于织物的EEG信号中可区分的关键特性的信号质量和调查的初步评估。

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