EEG-GAT: Graph Attention Networks for Classification of Electroencephalogram (EEG) Signals

被引：0
|
作者：
Demir, Andac [1 ]
Koike-Akino, Toshiaki [2 ]
Wang, Ye [2 ]
Erdogmus, Deniz [1 ]
机构：
[1] Northeastern University, Cognitive Systems Laboratory, Electrical and Computer Engineering Department, Boston,MA,02115, United States
[2] Mitsubishi Electric Research Laboratories (MERL), Cambridge,MA,02139, United States
来源：
Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS | 2022年 / 2022-July卷
关键词：
Compendex;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
Graph neural networks
引用
收藏
页码：30 / 35
相关论文
共 50 条
  • [31] Enhancing the Classification of EEG Signals using Wasserstein Generative Adversarial Networks
    Petrutiu, Vlad Mihai
    Palcu, Liana Daniela
    Lemnaur, Camelia
    Dinsoreanu, Mihaela
    Potolea, Rodica
    Mursesan, Raul
    Moca, Vlad Vasile
    2020 IEEE 16TH INTERNATIONAL CONFERENCE ON INTELLIGENT COMPUTER COMMUNICATION AND PROCESSING (ICCP 2020), 2020, : 29 - 34
  • [32] Classification of Cognitive Fatigue with EEG Signals
    Ekim, Ayse
    Aydemir, Onder
    Demir, Mengu
    2020 MEDICAL TECHNOLOGIES CONGRESS (TIPTEKNO), 2020,
  • [33] Classification of EEG Signals Using Neural Networks to Predict Password Memorability
    Alomari, Ruba
    Martin, Miguel Vargas
    2018 17TH IEEE INTERNATIONAL CONFERENCE ON MACHINE LEARNING AND APPLICATIONS (ICMLA), 2018, : 791 - 796
  • [34] Classification of Hand Motions in EEG Signals using Recurrent Neural Networks
    Popov, E.
    Fomenkov, S.
    2016 2ND INTERNATIONAL CONFERENCE ON INDUSTRIAL ENGINEERING, APPLICATIONS AND MANUFACTURING (ICIEAM), 2016,
  • [35] Data selection in EEG signals classification
    Shuaifang Wang
    Yan Li
    Peng Wen
    David Lai
    Australasian Physical & Engineering Sciences in Medicine, 2016, 39 : 157 - 165
  • [36] Classification of Drowsy and Controlled EEG signals
    Upadhyay, R.
    Kankar, P. K.
    Padhy, P. K.
    Gupta, V. K.
    3RD NIRMA UNIVERSITY INTERNATIONAL CONFERENCE ON ENGINEERING (NUICONE 2012), 2012,
  • [37] Emotion Classification Using EEG Signals
    Dabas, Harsh
    Sethi, Chaitanya
    Dua, Chirag
    Dalawat, Mohit
    Sethia, Divyashikha
    PROCEEDINGS OF 2018 THE 2ND INTERNATIONAL CONFERENCE ON COMPUTER SCIENCE AND ARTIFICIAL INTELLIGENCE (CSAI 2018) / 2018 THE 10TH INTERNATIONAL CONFERENCE ON INFORMATION AND MULTIMEDIA TECHNOLOGY (ICIMT 2018), 2018, : 380 - 384
  • [38] Spiking Neural Networks applied to the classification of motor tasks in EEG signals
    Virgilio G, Carlos D.
    Sossa A, Juan H.
    Antelis, Javier M.
    Falcon, Luis E.
    NEURAL NETWORKS, 2020, 122 : 130 - 143
  • [39] A new approach for classification of EEG signals
    Tezel, Guelay
    Ozbay, Yueksel
    2007 IEEE 15TH SIGNAL PROCESSING AND COMMUNICATIONS APPLICATIONS, VOLS 1-3, 2007, : 548 - +
  • [40] Recurrent neural networks employing Lyapunov exponents for EEG signals classification
    Güler, NF
    Übeyli, ED
    Güler, I
    EXPERT SYSTEMS WITH APPLICATIONS, 2005, 29 (03) : 506 - 514
12345