机构：[1]The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Lab for Neuroinformation, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, Sichuan, China[2]Sichuan Institute for Brain Science and Brain-Inspired Intelligence, Chengdu, Sichuan, China[3]Research Unit of NeuroInformation, Chinese Academy of Medical Sciences, Chengdu, Sichuan, China[4]The Affiliated Cancer Hospital, School of Medicine, University of Electronic Science and Technology of China, Chengdu, Sichuan, China四川省人民医院[5]School of Electrical Engineering, Zhengzhou University, Zhengzhou, Henan, China
The current evolution of "open neuroscience" has led to an increased amount of research on large-scale electroencephalography (EEG) applications, resulting in large quantities of accumulated EEG data. The batch sharing and processing of these massive EEG data play an important role in EEG studies within or across laboratories and result in an increasing requirement for a standard data file structure for existing EEG data. In this work, a new and more flexible data structure, named the Standard EEG Data Structure (SEDS), was proposed to meet the needs of both small-scale EEG data batch processing in single-site studies and large-scale EEG data sharing and analysis in single-/multisite studies (especially on cloud platforms). Furthermore, two versions (MATLAB and Docker versions) of the EEG Datafile Restructuring Toolbox (DRT) were developed to restructure EEG data files according to the SEDS. The DRT GUI (MATLAB version) dramatically reduces the time required for novice researchers, while the DRT (Docker version) is more efficient for experienced researchers. All materials including SEDS documents, tools, example datasets, etc., are available on the WeBrain website (https://webrain.uestc.edu.cn/) and (https://github.com/WeCloudHub/DRT). Wild We hope that these two user-friendly toolboxes can make the relatively novel SEDS easier to collaboratively study, especially for applications in large-scale EEG studies. (C) 2021 The Author(s). Published by Elsevier B.V.
基金：
National Natural Science Foundation of ChinaNational Natural Science Foundation of China (NSFC) [81861128001]; `111' project, ChinaMinistry of Education, China - 111 Project [B12027]; Sichuan Science and Technology Program, China [2018JZ0073]; CAMS Innovation Fund for Medical Sciences, China [2019-I2M-5-039]
第一作者机构：[1]The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Lab for Neuroinformation, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, Sichuan, China[2]Sichuan Institute for Brain Science and Brain-Inspired Intelligence, Chengdu, Sichuan, China[3]Research Unit of NeuroInformation, Chinese Academy of Medical Sciences, Chengdu, Sichuan, China[*1]Xiyuan Ave, Chengdu, Sichuan, 611731, China.
共同第一作者：
通讯作者：
通讯机构：[1]The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Lab for Neuroinformation, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, Sichuan, China[2]Sichuan Institute for Brain Science and Brain-Inspired Intelligence, Chengdu, Sichuan, China[3]Research Unit of NeuroInformation, Chinese Academy of Medical Sciences, Chengdu, Sichuan, China[5]School of Electrical Engineering, Zhengzhou University, Zhengzhou, Henan, China[*1]Xiyuan Ave, Chengdu, Sichuan, 611731, China.
推荐引用方式(GB/T 7714)：
Dong Li,Zhang Yufan,Zhao Lingling,et al.DRT: A new toolbox for the Standard EEG Data Structure in large-scale EEG applications[J].SOFTWAREX.2022,17:doi:10.1016/j.softx.2021.100933.
APA：
Dong, Li,Zhang, Yufan,Zhao, Lingling,Zheng, Ting,Wang, Weidong...&Yao, Dezhong.(2022).DRT: A new toolbox for the Standard EEG Data Structure in large-scale EEG applications.SOFTWAREX,17,
MLA：
Dong, Li,et al."DRT: A new toolbox for the Standard EEG Data Structure in large-scale EEG applications".SOFTWAREX 17.(2022)
