摘要
在脑力负荷的研究中,诱发出等级可分的脑力负荷状态是精确测量脑力负荷的基础。采用个性化的实验设计,可确保每名受试者都能被诱发出等级可分且逐级递增的脑力负荷状态。使用脑电图(EEG)记录在3种负荷水平下N-Back任务的生理响应,发现随着负荷的增加,前额叶、中央区以及枕叶位置的θ、α波段能量出现降低,低β波段的能量在前额叶、中央区、顶叶等区域出现下降,而在枕叶正则出现增高。结果表明,随着脑力负荷的升高,受试者的活跃脑区发生了改变。对比时域特征、频域特征、非线性特征以及全部类型特征同时使用情况下的负荷分类情况,使用全部类型特征不仅能够达到平均89.4%的较高正确率,而且提高了模型的鲁棒性。
In the study of mental workload,the triggering of graded states of mental workload is fundamental to the accurate measurement of mental workload.In this study,an individualized experimental design was adopted to ensure that a graded and increasing level of brain workload could be induced for each participant.The physiological response to the N-Back task was recorded using electroencephalography(EEG)at three levels of load.It was found that as the load increased,the energy in the theta and alpha bands decreased in the prefrontal,central and occipital regions,while the energy in the low beta band decreased in the prefrontal,central and parietal regions and increased in the occipital lobe.It is suggested that the active brain areas of the subjects changed as the brain workload increased.Comparing the load classification with only time-domain features,only frequency-domain features,only non-linear features and all types of features used simultaneously,the results showed that using all types of features not only achieved a higher correct rate of 89.4%on average,but also improved the robustness of the model.
作者
楚洪祚
焦学军
姜劲
曹勇
杨捷鸿
黄梦盈
王立志
李修乾
CHU Hongzuo;JIAO Xuejun;JIANG Jin;CAO Yong;YANG Jiehong;HUANG Mengying;WANG Lizhi;LI Xiuqian(Space Engineering University,Beijing 101416,China;China Astronaut Research and Training Center,Beijing 100094,China)
出处
《载人航天》
CSCD
北大核心
2021年第6期710-718,共9页
Manned Spaceflight
基金
国家自然科学基金面上项目(81671861)。
