Evaluation of Mental Workload in Working Memory Tasks with Different Information Types Based on EEG

样本熵 脑电图 工作量 计算机科学 熵(时间箭头) 阿尔法(金融) 工作记忆 心理学 人工智能 认知心理学 模式识别(心理学) 语音识别 认知 发展心理学 神经科学 心理测量学 量子力学 结构效度 操作系统 物理
作者
Kai Guan,Xiaoke Chai,Zhimin Zhang,Qian Li,Haijun Niu
标识
DOI:10.1109/embc46164.2021.9630575
摘要

To explore the effectiveness of using Electro- encephalogram (EEG) spectral power and multiscale sample entropy for accessing mental workload in different tasks, working memory tasks with different information types (verbal, object and spatial) and various mental loads were designed based on the N-Back paradigm. Subjective scores, accuracy and response time were used to verify the rationality of the tasks. EEGs from 18 normal adults were acquired when tasks were being performed, an independent component analysis (ICA) based artifact removal method were applied to get clean data. Linear (relative power in Theta and Alpha band, etc.) and nonlinear (multiscale sample entropy) features of EEGs were then extracted. Indices that can effectively reflect mental workload levels were selected by using multivariate analysis of variance statistical approach. Results showed that with the increment of task load, power of frontal Theta, Theta/Alpha ratio and sample entropies at scale more than 10 in parietal regions increased significantly first and decreased slightly then, while the power of central-parietal Alpha decreased significantly first and increased slightly then. Considering the difference between task types, no difference in power of frontal Theta, central-parietal Alpha and sample entropies at scales more than 10 of parietal regions were found between verbal and object tasks, as well as between two spatial tasks. No difference of frontal Theta/Alpha ratio was found in all the four tasks. The results can provide evidence for the mental workload evaluation in tasks with different information types.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
更新
PDF的下载单位、IP信息已删除 (2025-6-4)

科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
schen完成签到,获得积分10
刚刚
中和皇极完成签到,获得积分0
刚刚
1028181661发布了新的文献求助10
刚刚
专心搞学术完成签到,获得积分10
刚刚
Jansen完成签到,获得积分10
1秒前
whisper完成签到,获得积分10
1秒前
huyan完成签到,获得积分10
1秒前
阿瓦隆的蓝胖子完成签到,获得积分10
2秒前
dhn123完成签到,获得积分20
2秒前
车灵波完成签到 ,获得积分10
2秒前
Roche完成签到,获得积分10
2秒前
lfzw应助6789采纳,获得10
3秒前
哎呦喂完成签到,获得积分10
3秒前
挽风完成签到,获得积分10
3秒前
Junewill完成签到,获得积分10
3秒前
超A完成签到,获得积分20
3秒前
牛爷爷发布了新的文献求助10
3秒前
小二郎应助1028181661采纳,获得10
4秒前
可爱的函函应助1028181661采纳,获得10
4秒前
4秒前
善良的火完成签到 ,获得积分10
4秒前
5秒前
5秒前
英姑应助科研通管家采纳,获得10
6秒前
英姑应助科研通管家采纳,获得10
6秒前
大模型应助科研通管家采纳,获得10
6秒前
cc完成签到,获得积分20
6秒前
6秒前
Akim应助科研通管家采纳,获得10
6秒前
6秒前
6秒前
慕青应助科研通管家采纳,获得10
6秒前
6秒前
6秒前
6秒前
jx完成签到,获得积分10
6秒前
初之发布了新的文献求助10
7秒前
谷飞飞完成签到,获得积分10
7秒前
lulu完成签到,获得积分10
7秒前
默默尔安发布了新的文献求助10
7秒前
高分求助中
A new approach to the extrapolation of accelerated life test data 1000
Cognitive Neuroscience: The Biology of the Mind 1000
Technical Brochure TB 814: LPIT applications in HV gas insulated switchgear 1000
Immigrant Incorporation in East Asian Democracies 600
Nucleophilic substitution in azasydnone-modified dinitroanisoles 500
不知道标题是什么 500
A Preliminary Study on Correlation Between Independent Components of Facial Thermal Images and Subjective Assessment of Chronic Stress 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 有机化学 生物化学 物理 内科学 纳米技术 计算机科学 化学工程 复合材料 遗传学 基因 物理化学 催化作用 冶金 细胞生物学 免疫学
热门帖子
关注 科研通微信公众号,转发送积分 3968719
求助须知:如何正确求助?哪些是违规求助? 3513608
关于积分的说明 11168681
捐赠科研通 3248960
什么是DOI,文献DOI怎么找? 1794573
邀请新用户注册赠送积分活动 875194
科研通“疑难数据库(出版商)”最低求助积分说明 804716