Effects of Soft Drinks on Resting State EEG and Brain-Computer Interface Performance.

Effects of Soft Drinks on Resting State EEG and Brain-Computer Interface Performance.
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DOI:
10.1109/access.2017.2751069
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发表时间:
2017
期刊:
IEEE access : practical innovations, open solutions
影响因子:
--
通讯作者:
He B
He B
中科院分区:
其他
文献类型:
--
作者:
Meng J;Mundahl J;Streitz T;Maile K;Gulachek N;He J;He B

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使用脑电图(EEG)的基于运动成像(MI)的脑机接口(BCI)允许用户通过调制和解码脑电波直接控制计算机或外部设备。各种因素可能会影响BCI的性能,例如受试者的健康状况或环境。在这项研究中,我们研究了软饮料和普通咖啡对静息状态下脑电信号以及基于MI的脑机接口性能的影响。26名健康的人类受试者参加了三到四次BCI会议,每次会议都有一个休息期。在每一次会议期间,受试者喝了一种无标签的软饮料,其中含有糖(无咖啡因可口可乐),咖啡因(健怡可乐),两种成分都没有(无咖啡因健怡可乐),或者如果有第四次会议,则喝普通咖啡。比较了每种条件下的静息状态光谱功率;分析表明,与对照和糖条件相比,咖啡因消耗后α和β带中的功率大幅降低。虽然显示了用于在线BCI控制信号的频率范围内的功率衰减,但摄入咖啡因后的组平均BCI在线性能与其他条件下的组平均BCI在线性能相似。这项工作首次显示了咖啡因,糖摄入量对在线BCI性能和静息状态脑信号的影响。
Motor imagery-based (MI based) brain-computer interface (BCI) using electroencephalography (EEG) allows users to directly control a computer or external device by modulating and decoding the brain waves. A variety of factors could potentially affect the performance of BCI such as the health status of subjects or the environment. In this study, we investigated the effects of soft drinks and regular coffee on EEG signals under resting state and on the performance of MI based BCI. Twenty-six healthy human subjects participated in three or four BCI sessions with a resting period in each session. During each session, the subjects drank an unlabeled soft drink with either sugar (Caffeine Free Coca-Cola), caffeine (Diet Coke), neither ingredient (Caffeine Free Diet Coke), or a regular coffee if there was a fourth session. The resting state spectral power in each condition was compared; the analysis showed that power in alpha and beta band after caffeine consumption were decreased substantially compared to control and sugar condition. Although the attenuation of powers in the frequency range used for the online BCI control signal was shown, group averaged BCI online performance after consuming caffeine was similar to those of other conditions. This work, for the first time, shows the effect of caffeine, sugar intake on the online BCI performance and resting state brain signal.