Classification of Action Potentials With High Variability Using Convolutional Neural Network for Motor Unit Tracking

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...

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Bibliographic Details
Main Authors: Yixin Li, Yang Zheng, Guanghua Xu, Sicong Zhang, Renghao Liang, Run Ji
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Transactions on Neural Systems and Rehabilitation Engineering
Subjects:
EMG decomposition
motor unit action potential classification
convolutional neural network
motor unit tracking
Online Access:https://ieeexplore.ieee.org/document/10431767/

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