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首页> 外文期刊>Frontiers in Human Neuroscience >Concealed, Unobtrusive Ear-Centered EEG Acquisition: cEEGrids for Transparent EEG
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Concealed, Unobtrusive Ear-Centered EEG Acquisition: cEEGrids for Transparent EEG

机译:隐藏式,耳目一新的脑电图采集:透明脑电图的cEEGrids

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摘要

Electroencephalography (EEG) is an important clinical tool and frequently used to study the brain-behavior relationship in humans noninvasively. Traditionally, EEG signals are recorded by positioning electrodes on the scalp and keeping them in place with glue, rubber bands, or elastic caps. This setup provides good coverage of the head, but is impractical for EEG acquisition in natural daily-life situations. Here, we propose the transparent EEG concept. Transparent EEG aims for motion tolerant, highly portable, unobtrusive, and near invisible data acquisition with minimum disturbance of a user's daily activities. In recent years several ear-centered EEG solutions that are compatible with the transparent EEG concept have been presented. We discuss work showing that miniature electrodes placed in and around the human ear are a feasible solution, as they are sensitive enough to pick up electrical signals stemming from various brain and non-brain sources. We also describe the cEEGrid flex-printed sensor array, which enables unobtrusive multi-channel EEG acquisition from around the ear. In a number of validation studies we found that the cEEGrid enables the recording of meaningful continuous EEG, event-related potentials and neural oscillations. Here, we explain the rationale underlying the cEEGrid ear-EEG solution, present possible use cases and identify open issues that need to be solved on the way toward transparent EEG.
机译:脑电图(EEG)是一种重要的临床工具,经常用于无创研究人类的大脑与行为的关系。传统上,脑电信号是通过将电极放在头皮上并用胶水,橡皮筋或弹性帽固定在适当位置来记录的。这种设置可以很好地遮盖头部,但是在自然的日常生活中对于脑电图采集是不切实际的。在这里,我们提出了透明的脑电图概念。透明EEG旨在以对用户日常活动的干扰最小的方式来实现运动容忍,高度便携,不显眼且几乎不可见的数据采集。近年来,已经提出了几种与透明脑电图概念兼容的以耳朵为中心的脑电图解决方案。我们讨论的工作表明,放置在人耳内和周围的微型电极是一种可行的解决方案,因为它们足够灵敏,可以拾取来自各种大脑和非大脑来源的电信号。我们还描述了cEEGrid柔性印刷传感器阵列,该阵列可实现从耳朵周围进行无干扰的多通道EEG采集。在许多验证研究中,我们发现cEEGrid可以记录有意义的连续EEG,事件相关电位和神经振荡。在这里,我们解释了cEEGrid耳脑电图解决方案的基本原理,提出了可能的用例,并确定了在实现透明脑电图的过程中需要解决的未解决问题。

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