Incorporating EEG and EMG Patterns to Evaluate BCI-Based Long-Term Motor Training

Author:

Wang Zhongpeng1ORCID,He Beibei1ORCID,Zhou Yijie2ORCID,Chen Long2ORCID,Gu Bin1,Liu Shuang2ORCID,Xu Minpeng1,He Feng1ORCID,Ming Dong1ORCID

Affiliation:

1. College of Precision Instruments and Optoelectronics Engineering, Tianjin University, Tianjin, China

2. Academy of Medical Engineering and Translational Medicine, Tianjin University, Tianjin, China

Funder

National Natural Science Foundation of China

Tianjin Key Technology R&D Program

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Artificial Intelligence,Computer Networks and Communications,Computer Science Applications,Human-Computer Interaction,Signal Processing,Control and Systems Engineering,Human Factors and Ergonomics

Cited by 6 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. Learning Shared Semantic Information from Multimodal Bio-signals for Brain-Muscle Modulation Analysis;Proceedings of the 31st ACM International Conference on Multimedia;2023-10-26

2. Task Recognition in BCI via Short- and Long-Term Dynamic Entropy with Robotic Aid in Sight;Arabian Journal for Science and Engineering;2023-09-24

3. A review on EMG/EEG based control scheme of upper limb rehabilitation robots for stroke patients;Heliyon;2023-08

4. BGcsSENet: Bidirectional GRU With Spatial and Channel Squeeze-Excitation Network for Bundle Branch Block Detection;IEEE Transactions on Human-Machine Systems;2023-04

5. A comprehensive system for the acquisition of EMG signals and muscle force in lower limb;2022 International Conference on Electrical, Computer, Communications and Mechatronics Engineering (ICECCME);2022-11-16

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