Multi-scale attention patching encoder network: a deployable model for continuous estimation of hand kinematics from surface electromyographic signals

Multi-scale attention patching encoder network: a deployable model for continuous estimation of hand kinematics from surface electromyographic signals

Abstract Background Simultaneous and proportional control (SPC) based on surface electromyographic (sEMG) signals has emerged as a research hotspot in the field of human–machine interaction (HMI). However, the existing continuous motion estimation methods mostly have an average Pearson coefficient (...

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Bibliographic Details
Main Authors: Chuang Lin, Qiong Xiao, Penghui Zhao
Format: Article
Language:English
Published: BMC 2024-12-01
Series:Journal of NeuroEngineering and Rehabilitation
Subjects:
sEMG
Hand kinematics
Continuous estimation
Multi-scale attention
Patching encoder
Transformer
Online Access:https://doi.org/10.1186/s12984-024-01525-4
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https://doi.org/10.1186/s12984-024-01525-4

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