Enhanced EEG-fNIRS Classification through Concatenated Convolutional Neural Network with Band Analysis-Reference-Cited by-同舟云学术

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Enhanced EEG-fNIRS Classification through Concatenated Convolutional Neural Network with Band Analysis

Published:2023-12-04 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE International Conference on Robotics and Biomimetics (ROBIO)
language:
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Author:

Bunterngchit Chayut¹,Wang Jiaxing¹,Chearanai Thanaphon²,Hou Zeng-Guang¹

Affiliation:

1. Chinese Academy of Sciences,State Key Laboratory of Multimodal Artificial Intelligence Systems, Institute of Automation,Beijing,China,100190

2. King Mongkut’s University of Technology North Bangkok,Division of Industrial and Logistics Engineering Technology,Department of Engineering and Technology,Rayong,Thailand,21120

Funder

National Natural Science Foundation of China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10354348/10354529/10354890.pdf?arnumber=10354890

Reference35 articles.

1. Brain-Computer Interfaces in Medicine

2. Brain-Computer Interface: Advancement and Challenges

3. Combining brain-computer interfaces and assistive technologies: state-of-the-art and challenges

4. Invasive electroencephalography monitoring: Indications and presurgical planning

5. A comparison of resting state EEG and structural MRI for classifying Alzheimer’s disease and mild cognitive impairment

Cited by 1 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. Simultaneous EEG-fNIRS Data Classification Through Selective Channel Representation and Spectrogram Imaging;IEEE Journal of Translational Engineering in Health and Medicine;2024

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