Raw Electroencephalogram-Based Cognitive Workload Classification Using Directed and Nondirected Functional Connectivity Analysis and Deep Learning-Reference-Cited by-同舟云学术

Raw Electroencephalogram-Based Cognitive Workload Classification Using Directed and Nondirected Functional Connectivity Analysis and Deep Learning

Published:2023-08-01 Issue:4 Volume:11 Page:307-319
ISSN:2167-6461
Container-title:Big Data
language:en
Short-container-title:Big Data

Author:

Gupta Anmol¹^ORCID,Daniel Ronnie²,Rao Akash³,Roy Partha Pratim¹,Chandra Sushil⁴,Kim Byung-Gyu⁵^ORCID

Affiliation:

1. Department of Computer Science and Engineering, Indian Institute of Technology Roorkee, Roorkee, India.

2. Department of Applied Mechanics, Indian Institute of Technology Madras, Chennai, India.

3. School of Computing and Electrical Engineering, Applied Cognitive Science Laboratory, Indian Institute of Technology Mandi, Mandi, India.

4. Department of Biomedical Engineering, INMAS Defence Research and Development Organization, New Delhi, India.

5. Division of Artificial Intelligence Engineering, Sookmyung Women's University, Seoul, South Korea.

Publisher

Mary Ann Liebert Inc

Subject

Information Systems and Management,Computer Science Applications,Information Systems

Link

https://www.liebertpub.com/doi/pdf/10.1089/big.2021.0204

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5. The hybrid BCI system for movement control by combining motor imagery and moving onset visual evoked potential

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