疲劳驾驶脑电数据集

数据的实验对象是5位社会自愿者，身体健康，无重大脑部疾病史、心理病患及器质性疾病史。实验前要求被试保证充足的睡眠，并在前一天避免酒、茶和咖啡等任何中枢兴奋或抑制性食物和药物，避免剧烈运动。所有被试者都具有驾照。脑电信号（EEG）的采集是使用博睿康NeuSen W系列64导联无线脑电采集系统，并同步采集了双眼的水平和垂直眼电（4通道），以及贴在手腕或者后背的1 导ECG 心电信号。对采集到的数据进行共平均参考，采样频率为 1000Hz。因此，每位被试者的包含编号为1-59导的脑电导联，第60导为心电导联，61-64导为眼电信号。

The experimental subjects of this dataset are 5 healthy social volunteers with no history of major cerebral disorders, psychiatric conditions, or organic illnesses. Prior to the experiment, all participants were instructed to obtain sufficient sleep, refrain from consuming any centrally excitatory or inhibitory foods and medications such as alcohol, tea, and coffee, and avoid strenuous physical activity on the day prior to the experiment. All subjects held a valid driver's license. Electroencephalogram (EEG) signals were acquired using the Brinco NeuSen W-series 64-channel wireless EEG acquisition system. Simultaneously, 4-channel electrooculogram (EOG) signals (horizontal and vertical from both eyes) and 1-channel electrocardiogram (ECG) signal attached to the wrist or back were collected. The acquired data were processed with common average reference, with a sampling rate of 1000 Hz. Consequently, each subject's dataset consists of 59 EEG channels (numbered 1 to 59), 1 ECG channel (channel 60), and 4 EOG channels (channels 61 to 64).

搜集汇总

背景与挑战

背景概述

该数据集是一个专注于疲劳驾驶研究的脑电数据集，包含5位健康志愿者的多模态生理信号数据，采集了59导脑电、1导心电和4导眼电信号，采样频率为1000Hz，总数据量为3.85GB。数据集旨在支持基于脑电的安全驾驶预警仿真平台关键技术研究，为疲劳驾驶检测提供高质量的实验数据基础。