Kappel Simon L, Looney David, Mandic Danilo P, Kidmose Preben
Department of Engineering, Aarhus University, Finlandsgade 22, 8200, Aarhus N, Denmark.
Pindrop, 817 West Peachtree Street NW, Suite 770, 24105, Atlanta, GA, USA.
Biomed Eng Online. 2017 Aug 11;16(1):103. doi: 10.1186/s12938-017-0391-2.
A problem inherent to recording EEG is the interference arising from noise and artifacts. While in a laboratory environment, artifacts and interference can, to a large extent, be avoided or controlled, in real-life scenarios this is a challenge. Ear-EEG is a concept where EEG is acquired from electrodes in the ear.
We present a characterization of physiological artifacts generated in a controlled environment for nine subjects. The influence of the artifacts was quantified in terms of the signal-to-noise ratio (SNR) deterioration of the auditory steady-state response. Alpha band modulation was also studied in an open/closed eyes paradigm.
Artifacts related to jaw muscle contractions were present all over the scalp and in the ear, with the highest SNR deteriorations in the gamma band. The SNR deterioration for jaw artifacts were in general higher in the ear compared to the scalp. Whereas eye-blinking did not influence the SNR in the ear, it was significant for all groups of scalps electrodes in the delta and theta bands. Eye movements resulted in statistical significant SNR deterioration in both frontal, temporal and ear electrodes. Recordings of alpha band modulation showed increased power and coherence of the EEG for ear and scalp electrodes in the closed-eyes periods.
Ear-EEG is a method developed for unobtrusive and discreet recording over long periods of time and in real-life environments. This study investigated the influence of the most important types of physiological artifacts, and demonstrated that spontaneous activity, in terms of alpha band oscillations, could be recorded from the ear-EEG platform. In its present form ear-EEG was more prone to jaw related artifacts and less prone to eye-blinking artifacts compared to state-of-the-art scalp based systems.
脑电图(EEG)记录中固有的一个问题是噪声和伪迹产生的干扰。在实验室环境中,伪迹和干扰在很大程度上可以避免或控制,但在现实生活场景中,这是一个挑战。耳脑电图(Ear-EEG)是一种从耳部电极采集脑电图的概念。
我们对9名受试者在受控环境中产生的生理伪迹进行了特征描述。根据听觉稳态反应的信噪比(SNR)恶化情况对伪迹的影响进行了量化。还在睁眼/闭眼范式下研究了α波段调制。
与颌骨肌肉收缩相关的伪迹遍布头皮和耳部,γ波段的信噪比恶化最为严重。与头皮相比,耳部颌骨伪迹的信噪比恶化通常更高。眨眼对耳部的信噪比没有影响,但对所有头皮电极组在δ和θ波段有显著影响。眼球运动导致额叶、颞叶和耳部电极的信噪比出现统计学显著恶化。α波段调制记录显示,闭眼期间耳部和头皮电极的脑电图功率和相干性增加。
耳脑电图是一种为在长时间和现实生活环境中进行不引人注意且谨慎的记录而开发的方法。本研究调查了最重要类型的生理伪迹的影响,并证明就α波段振荡而言,可以从耳脑电图平台记录自发活动。与基于头皮的先进系统相比,目前形式的耳脑电图更容易出现与颌骨相关的伪迹,而不太容易出现眨眼伪迹。