A Systematic Review for Human EEG Brain Signals Based Emotion Classification, Feature Extraction, Brain Condition, Group Comparison

Author:

Hamada Mohamed,Zaidan B. B.,Zaidan A. A.

Publisher

Springer Science and Business Media LLC

Subject

Health Information Management,Health Informatics,Information Systems,Medicine (miscellaneous)

Reference100 articles.

1. Lin, Y. P., Yang, Y. H., and Jung, T. P., Fusion of electroencephalographic dynamics and musical contents for estimating emotional responses in music listening. Front. Neurosci. 8:1–14, 2014.

2. Chavan, D. R., Kumbhar, M. S., and Chavan, R. R., The human stress recognition of brain, using music therapy. 2016 Int. Conf. Comput. Power, Energy, Inf. Commun. ICCPEIC 2016, pp. 200–203, 2016.

3. Ogawa, T., Karungarul, S., Mitsukura, Y., Fukumil, M., and Akamatsul, N., Feature extraction in listen ’ ng to Mus ;’ C using statistical analystis of the EEG. no. D, pp. 5120–5123, 2006.

4. Naji, M., Firoozabadi, M., and Azadfallah, P., Emotion classification during music listening from forehead biosignals. Signal, Image Video Process. 9(6):1365–1375, 2015.

5. Sandler, H., Tamm, S., Fendel, U., Rose, M., Klapp, B. F., and Bösel, R., Positive Emotional Experience: Induced by Vibroacoustic Stimulation Using a Body Monochord in Patients with Psychosomatic Disorders: Is Associated with an Increase in EEG-Theta and a Decrease in EEG-Alpha Power. Brain Topogr. 29(4):524–538, 2016.

Cited by 55 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. EEG-based emotion classification Model: Combined model with improved score level fusion;Biomedical Signal Processing and Control;2024-09

2. Electroencephalography-based recognition of six basic emotions in virtual reality environments;Biomedical Signal Processing and Control;2024-07

3. Personalized Classifier Selection for EEG-Based BCIs;Computers;2024-06-21

4. Artificial Intelligence in Healthcare;Advances in Medical Technologies and Clinical Practice;2024-06-14

5. Neuromorphic Energy Efficient Stress Detection System using Spiking Neural Network;2024 IEEE International Symposium on Circuits and Systems (ISCAS);2024-05-19

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

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3