Approximate Entropy Analysis of Alpha wave Evoked by Mental Arithmetic Tasks
The major purpose of this study was to explore the relationship between cognitive workload and Approximate entropy (ApEn). Mental arithmetic tasks with the different interval were assigned to the 40 subjects of different genders. ApEn method was used to analyze alpha wave at the electrode P3, P4 , O1 and O2 from EEG data. It is one of nonlinear dynamics parameters to measure the complexity of sequence and quantify statistics as long as the relatively short data points are provided. Moreover, ApEn has good anti-noise and anti-jamming capability. The results show that ApEn value of about 3/4 the participants is higher in the 2s mental arithmetic task than in the 3s task. So it can be concluded that most of the people, whether male or female, have higher ApEn value of alpha wave at the cerebral top and occipital if their brain have more workload. It suggests the more workload increase the work complexity of the human brain. Additionally, this suggests that people should distribute reasonably workload as the human brain should not always be in a disorder conditions.
alpha wave EEG mental arithmetic approximateentropy gender
Zheng Wei Chen Zhihua Huo Li
Software Technology Institute Dalian Jiaotong University DaLian, China
国际会议
2011 International Conference on Electronics and Optoelectronics(2011电子学与光电子学国际会议 ICEOE 2011)
大连
英文
1346-1348
2011-07-29（万方平台首次上网日期，不代表论文的发表时间）