摘要
Lempl－Ziv意义下的随机序列的复杂性反映了有限长序列的随机程度。本文研究了大脑不同负荷状态时脑电图的复杂性，分析了大脑负荷状态与相应状态下EEG复杂度之间的关系。得到了部分统计结果，大脑负荷与不同负荷状态EEG的复杂度有一定的相关性，EEG的复杂度随着脑负荷的增强有降低趋势，在大脑额叶，这一趋势尤为明显．EEG的复杂性反映了大脑接受和处理信息活动的有序程度，可能为研究大脑的高级认知活动规律提供了一条新的途径。
The complexity defined by Lemple and Ziv (1976) represents the degree of the sequence random-ness. In this paper, the complexity of EEG under different mental loads was measured and the relation between thebrain active state and the EEG complexity was analyzed. The result showed a statistically strong relation betweenthe mental load and the EEG complexity. Further study showed that the heavier the mental load was the smallerthe EEG complexity became. This correlation was especially apparent in the frontal lobe, and the complexity ofEEG might be regarded as one of the parameters representing the functional state of the brain. The results indicatethat EEG complexity represents the active state of brain in processing information, and the measurement of EEGcomplexity may provide a new path to the research in the advanced cognitive function of the human brain.
出处
《生物医学工程学杂志》
EI
CAS
CSCD
北大核心
1997年第1期33-37,共5页
Journal of Biomedical Engineering
关键词
脑电图
复杂度
认知
Electroencephalogram Complexity Cognition
