文献类型：期刊文献

英文题名：Multi-recognition algorithms of human's mental fatigue state based on EEG

作者：Zhang, Yunfei[1]; Lu, Bo[1]; Su, Limin[1]

通讯作者：Zhang, Y.

机构：[1] College of Information, Beijing Union University, Bejing 100101, China

第一机构：北京联合大学智慧城市学院

年份：2012

起止页码：1180-1184

外文期刊名：2012 IEEE 5th International Conference on Advanced Computational Intelligence, ICACI 2012

收录：EI(收录号：20131116105478)

语种：英文

外文关键词：Entropy

摘要：In this paper, the EEG was respectively analyzed by the algorithms of power spectrum and wavelet entropy. And both of the algorithms are based on the same experiment. In addition, through the BP neural network, the state of mental fatigue for human being can be analyzed quickly and correctly. By experiment, when the value of δ is higher than before, at the same time, the value of β, α and θ are lower, or the average value of wavelet entropy is lower, the state of mental fatigue can be sure. Finally, the result, wavelet entropy is better in saving time and accuracy, was got from comparing the two algorithms. ? 2012 IEEE.