Department of Robotics Engineering, DGIST, Techno jungang-daero, Daegu, Republic of Korea.
Biomed Eng Online. 2018 May 24;17(1):64. doi: 10.1186/s12938-018-0500-x.
In longitudinal electroencephalography (EEG) studies, repeatable electrode positioning is essential for reliable EEG assessment. Conventional methods use anatomical landmarks as fiducial locations for the electrode placement. Since the landmarks are manually identified, the EEG assessment is inevitably unreliable because of individual variations among the subjects and the examiners. To overcome this unreliability, an augmented reality (AR) visualization-based electrode guidance system was proposed.
The proposed electrode guidance system is based on AR visualization to replace the manual electrode positioning. After scanning and registration of the facial surface of a subject by an RGB-D camera, the AR of the initial electrode positions as reference positions is overlapped with the current electrode positions in real time. Thus, it can guide the position of the subsequently placed electrodes with high repeatability.
The experimental results with the phantom show that the repeatability of the electrode positioning was improved compared to that of the conventional 10-20 positioning system.
The proposed AR guidance system improves the electrode positioning performance with a cost-effective system, which uses only RGB-D camera. This system can be used as an alternative to the international 10-20 system.
在纵向脑电图（EEG）研究中，可重复的电极定位对于可靠的脑电图评估至关重要。传统方法使用解剖学标志作为电极放置的基准位置。由于标志是手动识别的，因此脑电图评估不可避免地不可靠，因为受试者和检查者之间存在个体差异。为了克服这种不可靠性，提出了一种基于增强现实（AR）可视化的电极引导系统。
所提出的电极引导系统基于 AR 可视化来替代手动电极定位。在通过 RGB-D 相机扫描和注册受试者的面部表面后，将初始电极位置的 AR 实时与当前电极位置重叠。因此，它可以以高重复性引导随后放置的电极的位置。
与传统的 10-20 定位系统相比，在与幻影的实验结果表明电极定位的重复性得到了提高。
所提出的 AR 引导系统使用仅 RGB-D 相机的具有成本效益的系统提高了电极定位性能。该系统可作为国际 10-20 系统的替代方案。
