Kaneko Naotsugu, Yokoyama Moeka, Nakazawa Kimitaka, Yokoyama Hikaru
Department of Life Sciences, Graduate School of Arts and Sciences, The University of Tokyo, Tokyo 153-8902, Japan.
Sportology Center, Graduate School of Medicine, Juntendo University, Tokyo 113-8421, Japan.
MethodsX. 2024 May 16;12:102766. doi: 10.1016/j.mex.2024.102766. eCollection 2024 Jun.
Electroencephalogram (EEG) electrode digitization is crucial for accurate EEG source estimation, and several commercial systems are available for this purpose. The present study aimed to evaluate the digitizing accuracy of electromagnetic and optical systems. Additionally, we introduced a novel rotation method for the electromagnetic system and compared its accuracy with the conventional method of electromagnetic and optical systems. In the conventional method, the operator moves around a stationary participant to digitize, while the participant does not move their head or body. In contrast, in our proposed rotation method with an electromagnetic system, the operator rotates the participant sitting on a swivel chair to digitize in a consistent position. We showed high localization accuracy in both the optical and electromagnetic systems, with an average localization error of less than 3.6 mm. Comparisons of the digitization methods revealed that the electromagnetic system demonstrates superior digitizing accuracy compared to the optical system. Notably, the proposed rotational method is the most accurate among the three methods, which can be attributed to the consistent positioning of EEG electrode digitization within the electromagnetic field. Considering the affordability of the electromagnetic system, our findings provide valuable insights for researchers aiming for precise EEG source estimation.•The study compares the accuracy of electromagnetic and optical systems for EEG electrode digitization, introducing a novel rotation method for improved consistency and precision.•The electromagnetic system, especially with the proposed rotation method, achieves superior digitizing accuracy over the optical system.•Highlighting the cost-effectiveness and precision of the electromagnetic system with the rotation method, this research offers significant insights for achieving precise EEG source estimation.
脑电图(EEG)电极数字化对于准确的EEG源估计至关重要,并且有几种商业系统可用于此目的。本研究旨在评估电磁系统和光学系统的数字化精度。此外,我们为电磁系统引入了一种新颖的旋转方法,并将其精度与电磁系统和光学系统的传统方法进行了比较。在传统方法中,操作员围绕静止的参与者移动以进行数字化,而参与者不移动头部或身体。相比之下,在我们提出的电磁系统旋转方法中,操作员旋转坐在转椅上的参与者以在一致的位置进行数字化。我们在光学系统和电磁系统中均显示出较高的定位精度,平均定位误差小于3.6毫米。数字化方法的比较表明,电磁系统的数字化精度优于光学系统。值得注意的是,所提出的旋转方法在三种方法中是最准确的,这可归因于EEG电极数字化在电磁场中的一致定位。考虑到电磁系统的可承受性,我们的研究结果为旨在进行精确EEG源估计的研究人员提供了有价值的见解。•本研究比较了电磁系统和光学系统用于EEG电极数字化的精度,引入了一种新颖的旋转方法以提高一致性和精度。•电磁系统,特别是采用所提出的旋转方法时,比光学系统具有更高的数字化精度。•本研究强调了采用旋转方法的电磁系统具有成本效益和精度,为实现精确的EEG源估计提供了重要见解。