Park Sangin, Whang Mincheol
Industry-Academy Cooperation Team, Sangmyung University, Seoul, South Korea.
Department of Intelligent Engineering Informatics for Human, Sangmyung University, Seoul, South Korea.
Front Physiol. 2018 Oct 10;9:1400. doi: 10.3389/fphys.2018.01400. eCollection 2018.
Pupillary responses are associated with affective processing, cognitive function, perception, memory, attention, and other brain activities involving neural pathways. The present study aimed to develop a noncontact system to measure brain activity based on pupillary rhythms using an infra-red web camera. Electroencephalogram (EEG) signals and pupil imaging of 70 undergraduate volunteers (35 female, 35 male) were measured in response to sound stimuli designed to evoke arousal, relaxation, happiness, sadness, or neutral responses. This study successfully developed a real-time system that could detect an EEG spectral index (relative power: low beta in FP1; mid beta in FP1; SMR in FP1; beta in F3; high beta in F8; gamma P4; mu in C4) from pupillary rhythms using the synchronization phenomenon in harmonic frequency (1/100 f) between the pupil and brain oscillations. This method was effective in measuring and evaluating brain activity using a simple, low-cost, noncontact system, and may be an alternative to previous methods used to evaluate brain activity.
瞳孔反应与情感加工、认知功能、感知、记忆、注意力以及其他涉及神经通路的大脑活动相关。本研究旨在开发一种非接触系统,利用红外网络摄像头基于瞳孔节律来测量大脑活动。对70名本科志愿者(35名女性,35名男性)的脑电图(EEG)信号和瞳孔成像进行了测量,这些志愿者对旨在引发唤醒、放松、快乐、悲伤或中性反应的声音刺激做出反应。本研究成功开发了一种实时系统,该系统可以利用瞳孔与大脑振荡之间谐波频率(1/100 f)的同步现象,从瞳孔节律中检测出脑电图频谱指数(相对功率:FP1处的低β波;FP1处的中β波;FP1处的慢波节律;F3处的β波;F8处的高β波;P4处的γ波;C4处的μ波)。该方法在使用简单、低成本的非接触系统测量和评估大脑活动方面是有效的,并且可能是先前用于评估大脑活动的方法的一种替代方法。