Changes in Fatigue and EEG Amplitude during a Longtime Use of Brain-Computer Interface

Seung-Pyo Seo, Min-Ho Lee, J. Williamson, Seong-Whan Lee
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引用次数: 14

Abstract

Long duration usage of BCI systems may induce a loss of attention in the participant and result in a decrease of system performance. Therefore, investigation of fatigue during longtime usage and its effect on the signal quality are necessary for the use of BCI systems in daily life. In this study, 54 participants used BCI systems for about five hours, and it included the three major BCI paradigms. Participants conducted each paradigm once again at the end of the experiment. We investigated how fatigue changes as the experiment progresses and report the effect of fatigue on signal quality by comparing the first and second sessions. In the result, a significant increase was seen in questionnaire scores as well as in alpha-band power in the resting state. The signal quality decreased slightly in the MI and SSVEP paradigms, but the amplitude of the P300 in the ERP paradigm increased.
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长期使用脑机接口时疲劳和脑电图振幅的变化
长时间使用脑机接口系统可能会引起参与者注意力的丧失,导致系统性能下降。因此,研究脑机接口系统在长期使用过程中的疲劳及其对信号质量的影响是日常生活中必要的。在这项研究中,54名参与者使用脑机接口系统约5小时,包括三种主要的脑机接口范式。在实验结束时,参与者再次执行每个范式。我们研究了疲劳如何随着实验的进行而变化,并通过比较第一次和第二次实验报告了疲劳对信号质量的影响。结果显示,在静息状态下,问卷得分和α波段功率显著增加。MI和SSVEP模式的信号质量略有下降,而ERP模式的P300振幅有所增加。
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