Enhancing EEG and sEMG Fusion Decoding Using a Multi-Scale Parallel Convolutional Network With Attention Mechanism

Enhancing EEG and sEMG Fusion Decoding Using a Multi-Scale Parallel Convolutional Network With Attention Mechanism

Electroencephalography (EEG) and surface electromyography (sEMG) have been widely used in the rehabilitation training of motor function. However, EEG signals have poor user adaptability and low classification accuracy in practical applications, and sEMG signals are susceptible to abnormalities such...

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Bibliographic Details
Main Authors: Xianlun Tang, Yidan Qi, Jing Zhang, Ke Liu, Yin Tian, Xinbo Gao
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Transactions on Neural Systems and Rehabilitation Engineering
Subjects:
Rehabilitation training
signal fusion
multi-scale parallel network
fusion decoding
muscular fatigue
Online Access:https://ieeexplore.ieee.org/document/10374344/

Internet

https://ieeexplore.ieee.org/document/10374344/

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