An iterative method for classifying stroke subjects' motor imagery EEG data in the BCI-FES rehabilitation training system

被引：0
|
作者：
MOE-Microsoft Key Laboratory for Intelligent Computing and Intelligent Systems, Department of Computer Science and Engineering, Shanghai Jiao Tong University, Shanghai 200240, China [1 ]
机构：
来源：
Adv. Intell. Sys. Comput. | / 363-373期
关键词：
Support vector machines;
D O I：
10.1007/978-3-642-37835-5_32
中图分类号：
学科分类号：
摘要：
引用
收藏
相关论文
共 22 条
  • [21] An Immersive Motor Imagery Training System for Post-Stroke Rehabilitation Combining VR and EMG-based Real-Time Feedback
    Huang, Jianli
    Lin, Meiai
    Fu, Jianming
    Sun, Ya
    Fang, Qiang
    2021 43RD ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE & BIOLOGY SOCIETY (EMBC), 2021, : 7590 - 7593
  • [22] An Evidence-Based Intelligent Method for Upper-Limb Motor Assessment via a VR Training System on Stroke Rehabilitation
    Lee, Si-Huei
    Cui, Jianjun
    Liu, Lizheng
    Su, Mu-Chun
    Zheng, Lirong
    Yeh, Shih-Ching
    IEEE ACCESS, 2021, 9 (09) : 65871 - 65881
123