Multiclass Classification of Word Imagination Speech With Hybrid Connectivity Features-Reference-Cited by-同舟云学术

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Multiclass Classification of Word Imagination Speech With Hybrid Connectivity Features

Published:2018-10 Issue:10 Volume:65 Page:2168-2177
ISSN:0018-9294
Container-title:IEEE Transactions on Biomedical Engineering
language:
Short-container-title:IEEE Trans. Biomed. Eng.

Author:

Qureshi Muhammad Naveed Iqbal^ORCID,Min Beomjun,Park Hyeong-Jun,Cho Dongrae,Choi Woosu^ORCID,Lee Boreom^ORCID

Funder

Basic Science Research Program

National Research Foundation of Korea

Ministry of Science and ICT

GIST Research Institute

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Biomedical Engineering

Link

http://xplorestaging.ieee.org/ielx7/10/8467387/08234615.pdf?arnumber=8234615

Cited by 51 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. A Complete Scheme for Multi-Character Classification Using EEG Signals From Speech Imagery;IEEE Transactions on Biomedical Engineering;2024-08

2. Speech Imagery BCI Training Using Game with a Purpose;Proceedings of the 2024 International Conference on Advanced Visual Interfaces;2024-06-03

3. Resting state EEG assisted imagined vowel phonemes recognition by native and non-native speakers using brain connectivity measures;Physical and Engineering Sciences in Medicine;2024-04-22

4. Multivariate Dynamic Mode Decomposition for Automatic Imagined Speech Recognition Using Multichannel EEG Signals;IEEE Sensors Letters;2024-02

5. Ensemble-based feature engineering mechanism to decode imagined speech from brain signals;Informatics in Medicine Unlocked;2024

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