EEG and Empatica E4 Signals - Five Minute P300 Test and FAS Scores

Reliable fatigue assessment is desired in many different fields and environments. An efficient fatigue evaluation tool is promising in reducing fatal errors and economic loss in industrial settings. This dataset contains electroencephalographic (EEG) signals obtainedfrom an 8-channel OpenBCI headset, as well as biometric measurements obtained from the Empatica E4 wristband. Signals obtained from the E4 include: Photopletismography (PPG), heart rate, inter-beat interval (IBI), skin temperature and Electrodermic Activity(EDA). The signals were measured during a five-minute recording composed by a 30 seconds measurement of Eyes Closed, 30 seconds of Eyes Open, and 4 minutes of an Auditory Oddball task to elicit P300 waveforms. Prior to the recordings, volunteers answereda FAS questionnaire to provide information about their fatigue states. All volunteers provided written consent to publish their data for research purposes.

在众多领域和环境中对可靠的疲劳评估具有高度需求。一项高效的疲劳评估工具在工业环境中有望降低致命错误和经济损失。本数据集包含由8通道OpenBCI头戴设备获取的脑电图（EEG）信号，以及从Empatica E4腕带获取的生物特征测量数据。E4获取的信号包括：光电容积描记法（PPG）、心率、间期（IBI）、皮肤温度和电皮肤活动（EDA）。信号测量是在一个五分钟的记录中进行的，该记录由30秒的闭眼测量、30秒的开眼测量和4分钟的听觉奇数任务组成，以诱发P300波形。在记录之前，志愿者回答了一份FAS问卷，以提供有关其疲劳状态的信息。所有志愿者均提供了书面同意，以供研究目的发布他们的数据。