Motion Imagery Signal Analysis Incorporating Spatio-Temporal Adaptive Graph Convolution

被引:0
|
作者
Jing, Liu [1 ,2 ]
Xiaohui, Kang [1 ]
Zehao, Dong [1 ]
Xuan, Li [1 ]
Wei, Zhao [1 ]
Yu, Wang [3 ]
机构
[1] College of Computer and Cyber Security, Hebei Normal University, Shijiazhuang,050024, China
[2] College of Software, Hebei Normal University, Shijiazhuang,050024, China
[3] College of Mathematical Sciences, Hebei Normal University, Shijiazhuang,050024, China
来源
Computer Engineering and Applications | / 60卷 / 11期
关键词
Compilation and indexing terms; Copyright 2025 Elsevier Inc;
D O I
暂无
中图分类号
学科分类号
摘要
Biomedical signal processing - Brain computer interface - Classification (of information) - Deep learning - Learning systems - Medical applications - Patient rehabilitation - Signal to noise ratio
引用
收藏
页码:115 / 128
相关论文
共 50 条
  • [41] Determination of workers? compliance to safety regulations using a spatio-temporal graph convolution network
    Lee, Bogyeong
    Hong, Sungkook
    Kim, Hyunsoo
    ADVANCED ENGINEERING INFORMATICS, 2023, 56
  • [42] Flow prediction via adaptive dynamic graph with spatio-temporal correlations
    Zhang, Hui
    Ding, Kun
    Xie, Jietao
    Xiao, Weidong
    Xie, Yuxiang
    EXPERT SYSTEMS WITH APPLICATIONS, 2025, 261
  • [43] A Spatio-Temporal Traffic Flow Prediction Method Based on Dynamic Graph Convolution Network
    Yang, Guoliang
    Yu, Huasheng
    Xi, Hao
    2022 34TH CHINESE CONTROL AND DECISION CONFERENCE, CCDC, 2022, : 5364 - 5369
  • [44] Hybrid Spatio-Temporal Graph Convolution Network For Short-Term Traffic Forecasting
    Chen, Bokui
    Hu, Kai
    Li, Yue
    Miao, Lixin
    2022 IEEE 25TH INTERNATIONAL CONFERENCE ON INTELLIGENT TRANSPORTATION SYSTEMS (ITSC), 2022, : 2128 - 2133
  • [45] Self-Attention Graph Convolution Imputation Network for Spatio-Temporal Traffic Data
    Wei, Xiulan
    Zhang, Yong
    Wang, Shaofan
    Zhao, Xia
    Hu, Yongli
    Yin, Baocai
    IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2024, 25 (12) : 19549 - 19562
  • [46] Estimating Spatio-Temporal Building Power Consumption Based on Graph Convolution Network Method
    Vontzos, Georgios
    Laitsos, Vasileios
    Charakopoulos, Avraam
    Bargiotas, Dimitrios
    Karakasidis, Theodoros E.
    DYNAMICS, 2024, 4 (02): : 337 - 356
  • [47] Worker Abnormal Behavior Recognition Based on Spatio-Temporal Graph Convolution and Attention Model
    Li, Zhiwei
    Zhang, Anyu
    Han, Fangfang
    Zhu, Junchao
    Wang, Yawen
    ELECTRONICS, 2023, 12 (13)
  • [48] Spatio-temporal continuous wavelets for the analysis of motion on manifolds
    Leduc, JP
    Corbett, JR
    PROCEEDINGS OF THE IEEE-SP INTERNATIONAL SYMPOSIUM ON TIME-FREQUENCY AND TIME-SCALE ANALYSIS, 1998, : 57 - 60
  • [49] Spatio-temporal wavelet transforms for digital signal analysis
    Leduc, JP
    SIGNAL PROCESSING, 1997, 60 (01) : 23 - 41
  • [50] Causal graph convolution neural differential equation for spatio-temporal time series predictionCausal graph convolution neural differential equation for spatio-temporal time series predictionQ. Wang et al.
    Qipeng Wang
    Shoubo Feng
    Min Han
    Applied Intelligence, 2025, 55 (7)