Upper Limb Movement Decoding Scheme Based on Surface Electromyography Using Attention-Based Kalman Filter Scheme

Upper Limb Movement Decoding Scheme Based on Surface Electromyography Using Attention-Based Kalman Filter Scheme

Convolutional neural network (CNN)-based models are widely used in human movement decoding based on surface electromyography. However, they capture only the spatial information of the surface electromyography and lack prior knowledge of the system, resulting in unsatisfactory decoding accuracy. To a...

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Bibliographic Details
Main Authors: Anyuan Zhang, Qi Li, Zhenlan Li, Jiming Li
Format: Article
Language:English
Published: IEEE 2023-01-01
Series:IEEE Transactions on Neural Systems and Rehabilitation Engineering
Subjects:
Attention mechanism
convolutional neural network
human movement decoding
Kalman filter
long short-term memory
Online Access:https://ieeexplore.ieee.org/document/10082987/
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https://ieeexplore.ieee.org/document/10082987/

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