Human Phenome Institute, State Key Laboratory of Medical Neurobiology and Ministry of Education Frontiers Center for Brain Science, School of Life Science, Research Institute of Intelligent Complex Systems, and Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai, China.
Shanghai Advanced Research Institute, Chinese Academy of Sciences, Shanghai, China.
Sci Data. 2022 Aug 2;9(1):465. doi: 10.1038/s41597-022-01575-0.
The dataset of simultaneous 64-channel electroencephalography (EEG) and high-speed eye-tracking (ET) recordings was collected from 31 professional athletes and 43 college students during alertness behavior task (ABT) and concentration cognitive task (CCT). The CCT experiment lasting 1-2 hours included five sessions for groups of the Shooting, Archery and Modern Pentathlon elite athletes and the controls. Concentration targets included shooting target and combination target with or without 24 different directions of visual distractors and 2 types of music distractors. Meditation and Schulte Grid trainings were done as interventions. Analysis of the dataset aimed to extract effective biological markers of eye movement and EEG that can assess the concentration level of talented athletes compared with same-aged controls. Moreover, this dataset is useful for the research of related visual brain-computer interfaces.
同时采集了 31 名专业运动员和 43 名大学生的 64 通道脑电图(EEG)和高速眼动(ET)记录数据集,用于警觉行为任务(ABT)和集中认知任务(CCT)。持续 1-2 小时的 CCT 实验包括五个射击、射箭和现代五项精英运动员组和对照组的会议。集中目标包括射击目标和组合目标,有或没有 24 个不同方向的视觉干扰和 2 种音乐干扰。冥想和 Schulte 网格训练作为干预措施。数据集的分析旨在提取眼动和 EEG 的有效生物标志物,以评估与同龄对照组相比,有天赋的运动员的集中水平。此外,该数据集还可用于相关视觉脑机接口的研究。