Classification of mental workload with EEG analysis by using effective connectivity and a hybrid model of CNN and LSTM-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

Classification of mental workload with EEG analysis by using effective connectivity and a hybrid model of CNN and LSTM

Published:2024-07-31 Issue: Volume: Page:1-15
ISSN:1025-5842
Container-title:Computer Methods in Biomechanics and Biomedical Engineering
language:en
Short-container-title:Computer Methods in Biomechanics and Biomedical Engineering

Author:

Safari MohammadReza¹,Shalbaf Reza¹,Bagherzadeh Sara²,Shalbaf Ahmad³

Affiliation:

1. Institute for Cognitive Science Studies, Tehran, Iran

2. Department of Biomedical Engineering, Science and Research Branch, Islamic Azad University, Tehran, Iran

3. Department of Biomedical Engineering and Medical Physics, School of Medicine, Shahid Beheshti University of Medical Sciences, Tehran, Iran

Funder

Shahid Beheshti University of Medical Sciences

Publisher

Informa UK Limited

Link

https://www.tandfonline.com/doi/pdf/10.1080/10255842.2024.2386325

Reference61 articles.

1. Almogbel MA, Dang AH, Kameyama W. 2018. Cognitive workload detection from raw EEG-signals of vehicle driver using deep learning. In International Conference on Advanced Communication Technology (ICACT). pp. 1–6.

2. A passive brain–computer interface application for the mental workload assessment on professional air traffic controllers during realistic air traffic control tasks

3. Emotion recognition using effective connectivity and pre-trained convolutional neural networks in EEG signals

4. Detection of schizophrenia using hybrid of deep learning and brain effective connectivity image from electroencephalogram signal

5. Managing cognitive load—recent trends in cognitive load theory

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线，采集、加工和组织学术论文而形成的新型学术文献查询和分析系统，可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容，当前同舟云学术共收录了国内外主流学术期刊6万余种，收集的期刊论文及会议论文总量共计约1.5亿篇，并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询！咨询电话：010-8811{复制后删除}0370

www.globalauthorid.com

TOP