Diversity and Suitability of the State-of-the-Art Wearable and Wireless EEG Systems Review-Reference-Cited by-同舟云学术

Diversity and Suitability of the State-of-the-Art Wearable and Wireless EEG Systems Review

Published:2023-08 Issue:8 Volume:27 Page:3830-3843
ISSN:2168-2194
Container-title:IEEE Journal of Biomedical and Health Informatics
language:
Short-container-title:IEEE J. Biomed. Health Inform.

Author:

He Congying¹^ORCID,Chen Yu-Yi²,Phang Chun-Ren³^ORCID,Stevenson Cory¹^ORCID,Chen I-Ping²^ORCID,Jung Tzyy-Ping⁴^ORCID,Ko Li-Wei⁵^ORCID

Affiliation:

1. Institute of Bioinformatics and Systems Biology, National Yang Ming Chiao Tung University, Hsinchu, Taiwan

2. Institute of Applied Arts, National Yang Ming Chiao Tung University, Hsinchu, Taiwan

3. International Ph.D. Program in Interdisciplinary Neuroscience, National Yang Ming Chiao Tung University, Hsinchu, Taiwan

4. Institute for Neural Computation and Institute of Engineering in Medicine, University of California, San Diego, CA, USA

5. Institute of Electrical and Control Engineering, Department of Electronics and Electrical Engineering, and the Department of Biological Science and Technology, National Yang Ming Chiao Tung University, Hsinchu, Taiwan

Funder

Army Research Laboratory

Ministry of Science and Technology

Center for Intelligent Drug Systems and Smart Bio-Devices

Featured Areas Research Center Program

Higher Education Sprout Project

National Yang Ming Chiao Tung University

Ministry of Education in Taiwan

National Science Foundation

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Health Information Management,Electrical and Electronic Engineering,Computer Science Applications,Health Informatics

Link

https://ieeexplore.ieee.org/ielam/6221020/10210140/10025407-aam.pdf

Reference78 articles.

1. Influence of Time Pressure on Inhibitory Brain Control During Emergency Driving

2. Review of Wireless Brain-Computer Interface Systems

3. Passive BCI beyond the lab: current trends and future directions

4. Identifying Ketamine Responses in Treatment-Resistant Depression Using a Wearable Forehead EEG

5. Prediction of drowsiness events in night shift workers during morning driving

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