Deep Learning With Convolutional Neural Networks for Motor Brain-Computer Interfaces Based on Stereo-Electroencephalography (SEEG)-Reference-Cited by-同舟云学术

Deep Learning With Convolutional Neural Networks for Motor Brain-Computer Interfaces Based on Stereo-Electroencephalography (SEEG)

Published:2023-05 Issue:5 Volume:27 Page:2387-2398
ISSN:2168-2194
Container-title:IEEE Journal of Biomedical and Health Informatics
language:
Short-container-title:IEEE J. Biomed. Health Inform.

Author:

Wu Xiaolong¹^ORCID,Jiang Shize²,Li Guangye³,Liu Shengjie³,Metcalfe Benjamin¹^ORCID,Chen Liang²^ORCID,Zhang Dingguo¹^ORCID

Affiliation:

1. Centre for Autonomous Robotics (CENTAUR), Department of Electronic & Electrical Engineering, University of Bath, Bath, U.K.

2. Huashan Hospital, Fudan University, Shanghai, China

3. School of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai, China

Funder

EPSRC New Horizons

National Natural Science Foundation of China

China Postdoctoral Science Foundation

Medical & Engineering Cross Foundation of SJTU

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

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

Link

http://xplorestaging.ieee.org/ielx7/6221020/10116032/10038475.pdf?arnumber=10038475

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