Classification of Action Potentials With High Variability Using Convolutional Neural Network for Motor Unit Tracking
The reliable classification of motor unit action potentials (MUAPs) provides the possibility of tracking motor unit (MU) activities. However, the variation of MUAP profiles caused by multiple factors in realistic conditions challenges the accurate classification of MUAPs. The goal of this study was...
Main Authors: | Yixin Li, Yang Zheng, Guanghua Xu, Sicong Zhang, Renghao Liang, Run Ji |
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Format: | Article |
Language: | English |
Published: |
IEEE
2024-01-01
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Series: | IEEE Transactions on Neural Systems and Rehabilitation Engineering |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/10431767/ |
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