Laszlo Sarah, Ruiz-Blondet Maria, Khalifian Negin, Chu Fanny, Jin Zhanpeng
Department of Psychology, SUNY Binghamton, United States; Program in Linguistics, SUNY Binghamton, United States.
Department of Bioengineering, SUNY Binghamton, United States.
J Neurosci Methods. 2014 Sep 30;235:298-307. doi: 10.1016/j.jneumeth.2014.05.012. Epub 2014 Jul 27.
Active amplification electrodes are becoming more popular for ERP data collection, as they amplify the EEG at the scalp and thereby potentially decrease the influence of ambient electrical noise. However, the performance of active electrodes has not been directly compared with that of passive electrodes in the context of collecting ERPs from a cognitive task. Here, the performance of active and passive amplification electrodes in the same digitizing amplifier system was examined.
In Experiment 1, interelectrode impedance in an electrically quiet setting was manipulated to determine whether, in such recording conditions, active electrodes can outperform passive ones. In Experiment 2, the performance of active electrodes at the limits of natural skin impedance was explored, as was the relationship between active amplification circuitry and voltage stability in averaged EOG.
Results reveal a complex pattern of interrelations between electrode type, impedance, and voltage stability, indicating that which type of electrode is "best" depends non-trivially on the circumstances in which data are being collected.
Traditional, passive electrodes acquired the cleanest data observed in any of the acquisition conditions at very low impedance, but not at any impedance >2 kΩ.
Active electrodes perform better than passive ones at all impedances other than very low ones; however, this is qualified by the additional finding that during fast voltage fluctuations, such as those most desirable in most ERP studies, active electrodes are less able to accurately follow the EEG than passive ones.
有源放大电极在事件相关电位(ERP)数据采集中越来越受欢迎,因为它们能在头皮处放大脑电图(EEG),从而有可能降低环境电噪声的影响。然而,在从认知任务中采集ERP的背景下,有源电极的性能尚未与无源电极的性能进行直接比较。在此,研究了在同一数字化放大器系统中有源和无源放大电极的性能。
在实验1中,在电安静环境下操纵电极间阻抗,以确定在这种记录条件下有源电极是否能优于无源电极。在实验2中,探索了有源电极在自然皮肤阻抗极限下的性能,以及有源放大电路与平均眼电(EOG)中电压稳定性之间的关系。
结果揭示了电极类型、阻抗和电压稳定性之间复杂的相互关系模式,表明哪种类型的电极“最佳”在很大程度上取决于数据采集的环境。
传统的无源电极在极低阻抗下获得了在任何采集条件下观察到的最干净的数据,但在任何大于2kΩ的阻抗下都没有。
除了极低阻抗外,有源电极在所有阻抗下的性能都优于无源电极;然而,另外一个发现对此进行了限制,即在快速电压波动期间,例如大多数ERP研究中最期望的那些波动,有源电极比无源电极更难以准确跟踪EEG。