Art
J-GLOBAL ID:202302237243034758   Reference number:23A2343048

Deep Neural Network for EEG Signal-Based Subject-Independent Imaginary Mental Task Classification

EEG信号ベース被験者非依存虚数メンタルタスク分類のための深層ニューラルネットワーク【JST・京大機械翻訳】
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Material:
Volume: 13  Issue:Page: 640  Publication year: 2023 
JST Material Number: U7173A  ISSN: 2075-4418  Document type: Article
Article type: 原著論文  Country of issue: Switzerland (CHE)  Language: ENGLISH (EN)
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BACKGROUND. Mental task identi...
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Biometry  ,  Pattern recognition  ,  Neurocomputers 
Reference (48):
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  • Vega, C.F.; Fernández, F.J.R. Recognition of mental task with the analysis of long-range temporal correlations on EEG brain oscillation. In Proceedings of the 2012 ISSNIP Biosignals and Biorobotics Conference: Biosignals and Robotics for Better and Safer Living (BRC), Manaus, Brazil, 9-11 January 2012; pp. 1-4.
  • Golomb, M.R.; McDonald, B.C.; Warden, S.J.; Yonkman, J.; Saykin, A.J.; Shirley, B.; Huber, M.; Rabin, B.; AbdelBaky, M.; Nwosu, M.E.; et al. In-home virtual reality videogame telerehabilitation in adolescents with hemiplegic cerebral palsy. Arch. Phys. Med. Rehabil. 2010, 91, 1-8.
  • Lalitharatne, T.D.; Teramoto, K.; Hayashi, Y.; Kiguchi, K. Towards hybrid EEG-EMG-based control approaches to be used in bio-robotics applications: Current status, challenges and future directions. Paladyn J. Behav. Robot. 2013, 4, 147-154.
  • Manolova, A.; Tsenov, G.; Lazarova, V.; Neshov, N. Combined EEG and EMG fatigue measurement framework with application to hybrid brain-computer interface. In Proceedings of the 2016 IEEE International Black Sea Conference on Communications and Networking (BlackSeaCom), Varna, Bulgaria, 6-9 June 2016; pp. 1-5.
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