Decomposing single-channel intramuscular electromyography signal sampled at a low frequency into its motor unit action potential trains with a generative adversarial network-Reference-Cited by-同舟云学术

Decomposing single-channel intramuscular electromyography signal sampled at a low frequency into its motor unit action potential trains with a generative adversarial network

Published:2019-10 Issue: Volume:48 Page:187-196
ISSN:1050-6411
Container-title:Journal of Electromyography and Kinesiology
language:en
Short-container-title:Journal of Electromyography and Kinesiology

Author:

Sun Wentao,Tang Rongyu,Lang Yiran,He Jiping,Qiang Huang

Funder

Beijing Municipal Science and Technology Program

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

Neurology (clinical),Biophysics,Neuroscience (miscellaneous)

Reference50 articles.

1. Emglab: An interactive emg decomposition program;Mcgill;J. Neurosci. Methods,2005

2. The discharge of impulses in motor nerve fibres: Part I. Impulses in single fibres of the phrenic nerve;Adrian;J. Physiol.,1928

3. Common synaptic input to motor neurons, motor unit synchronization, and force control;Farina;Exercise Sport Sci. Rev.,2015

4. Robust and accurate decoding of motoneuron behaviour and prediction of the resulting force output;Thompson;J. Physiol.,2018

5. A procedure for decomposing the myoelectric signal into its constituent action potentials–part i: Technique, theory, and implementation;Lefever;IEEE Trans. Bio-med. Eng.,1982

Cited by 4 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. Generative Adversarial Networks based on optimal transport: a survey;Artificial Intelligence Review;2022-12-01

2. Classification of Motor Unit Action Potential Using Transfer Learning for the Diagnosis of Neuromuscular Diseases;2022 8th International Conference on Smart Structures and Systems (ICSSS);2022-04-21

3. Design and Control of a Myoelectric Prosthetic Hand using Multi-Channel Blind Source Separation Techniques;2021 Sixth International Conference on Advances in Biomedical Engineering (ICABME);2021-10-07

4. Low-Frequency Signal Sampling Method Implemented in a PLC Controller Dedicated to Applications in the Monitoring of Selected Electrical Devices;Electronics;2021-02-10