A simultaneous electroencephalography and eye-tracking dataset in elite athletes during alertness and concentration tasks

Xinzhen Pei; Guiying Xu; Yunhui Zhou; Luna Tao; Xiaozhu Cui; Zhenyu Wang; Bingru Xu; An Li Wang; Xi Zhao; Haijun Dong; Yan An; Yang Cao; Ruxue Li; Honglin Hu; Yuguo Yu

doi:10.1038/s41597-022-01575-0

A simultaneous electroencephalography and eye-tracking dataset in elite athletes during alertness and concentration tasks

Xinzhen Pei, Guiying Xu, Yunhui Zhou, Luna Tao, Xiaozhu Cui, Zhenyu Wang, Bingru Xu, An Li Wang, Xi Zhao, Haijun Dong, Yan An, Yang Cao, Ruxue Li, Honglin Hu, Yuguo Yu

Addiction Institute of Mount Sinai

Research output: Contribution to journal › Article › peer-review

12 Scopus citations

Abstract

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.

Original language	English
Article number	465
Journal	Scientific data
Volume	9
Issue number	1
DOIs	https://doi.org/10.1038/s41597-022-01575-0
State	Published - Dec 2022

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title = "A simultaneous electroencephalography and eye-tracking dataset in elite athletes during alertness and concentration tasks",

abstract = "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.",

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AU - Pei, Xinzhen

AU - Xu, Guiying

AU - Zhou, Yunhui

AU - Tao, Luna

AU - Cui, Xiaozhu

AU - Wang, Zhenyu

AU - Xu, Bingru

AU - Wang, An Li

AU - Zhao, Xi

AU - Dong, Haijun

AU - An, Yan

AU - Cao, Yang

AU - Li, Ruxue

AU - Hu, Honglin

AU - Yu, Yuguo

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AB - 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.

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A simultaneous electroencephalography and eye-tracking dataset in elite athletes during alertness and concentration tasks

Abstract

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