Multiclass Detection and Tracking of Transient Motor Activation based on Decomposed Myoelectric Signals
Author:
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/8712471/8716881/08717077.pdf?arnumber=8717077
Cited by 8 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. Simultaneous and Proportional Real-Time Myocontrol of Up to Three Degrees of Freedom of the Wrist and Hand;IEEE Transactions on Biomedical Engineering;2023-02
2. Blind Source Separation for Surface Electromyograms Using a Bayesian Approach;2022 30th European Signal Processing Conference (EUSIPCO);2022-08-29
3. Deep Heterogeneous Dilation of LSTM for Transient-Phase Gesture Prediction Through High-Density Electromyography: Towards Application in Neurorobotics;IEEE Robotics and Automation Letters;2022-04
4. Deep Heterogeneous Dilation of LSTM for Transient-phase Gesture Prediction through High-density Electromyography: Towards Application in Neurorobotics;2021-10-28
5. Estimation of Positions and Orientations of Activated Muscle Fibers with Electrode Array;2021 IEEE Biomedical Circuits and Systems Conference (BioCAS);2021-10-07
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