Swartz Center for Computational Neuroscience, University of California San Diego, La Jolla, CA, United States of America. Center for Neuromodulation, University of California San Diego, La Jolla, CA, United States of America.
J Neural Eng. 2019 Sep 19;16(5):054001. doi: 10.1088/1741-2552/ab21f2.
Electroencephalography (EEG) is widely used by clinicians, scientists, engineers and other professionals worldwide, with an increasing number of low-cost, commercially-oriented EEG systems that have become available in recent years. One such system is the Cognionics Quick-20 (Cognionics Inc., San Diego, USA), which uses dry electrodes and offers the convenience of portability thanks to its built-in amplifier and wireless connection. Because of such characteristics, this system has been used in several applications for both clinical and basic research studies. However, an investigation of the quality of the signals that are recorded using this system has not yet been reported.
To bridge this gap, here we conducted a systematic comparison of signal quality between the Cognionics Quick-20 system and the Brain Products actiCAP/actiCHamp (Brain Products GmbH, Munich, Germany), a state-of-the-art, wet-electrode, research-oriented EEG system. Resting-state EEG data were recorded from twelve human participants at rest in eyes open and eyes closed conditions. For both systems we evaluated the similarity of mean recorded power spectral density, and detection of alpha suppression associated with eyes open relative to eyes closed.
Power spectral densities were highly correlated across systems, with only minor topographical variability across the scalp. Both systems recorded alpha suppression during eyes open relative to eyes closed conditions.
These results attest to the robustness and reliability of the dry-electrode Cognionics system relatively to the widely used Brain Products laboratory EEG system, and thus validate its utility for clinical and basic research purposes, at least in studies in which participants do not move.
脑电图(EEG)被全球临床医生、科学家、工程师和其他专业人员广泛使用,近年来出现了越来越多的低成本、面向商业的 EEG 系统。其中一个系统是 Cognionics Quick-20(Cognionics Inc.,美国圣地亚哥),它使用干电极,由于内置放大器和无线连接,具有便携性的优势。由于这些特点,该系统已在临床和基础研究的多个应用中得到应用。然而,使用该系统记录的信号质量的研究尚未见报道。
为了弥补这一空白,我们在这里对 Cognionics Quick-20 系统和 Brain Products actiCAP/actiCHamp(Brain Products GmbH,德国慕尼黑)系统的信号质量进行了系统比较,后者是一种最先进的、湿电极、面向研究的 EEG 系统。在睁眼和闭眼休息状态下,从 12 名人类参与者记录静息状态 EEG 数据。对于这两个系统,我们评估了平均记录的功率谱密度的相似性,以及检测与睁眼相关的 alpha 抑制。
功率谱密度在两个系统之间高度相关,头皮上的拓扑变化很小。两个系统都记录到了睁眼时相对于闭眼时的 alpha 抑制。
这些结果证明了干电极 Cognionics 系统相对于广泛使用的 Brain Products 实验室 EEG 系统的稳健性和可靠性,因此验证了其在临床和基础研究中的实用性,至少在参与者不移动的研究中是如此。