Enhanced Dynamic Surface EMG Decomposition Using the Non-Negative Matrix Factorization and Three-Dimensional Motor Unit Localization

Objective: Surface electromyography (sEMG) signal decomposition is of great importance in examining neuromuscular diseases and neuromuscular research, especially dynamic sEMG decomposition is even more technically challenging. Methods: A novel two-step sEMG decomposition approach was developed. The...

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Vydané v:	IEEE transactions on biomedical engineering Ročník 71; číslo 2; s. 1 - 12
Hlavní autori:	He, Jinbao, Liu, Yang, Li, Sheng, Zhou, Ping, Zhang, Yingchun
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	United States IEEE 01.02.2024 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Predmet:	3D motor unit localization Accuracy Action Potentials Algorithms Computer Simulation Decomposition dynamic muscle contraction Eigenvectors Electrodes Electromyography Electromyography - methods Factorization Firing Heuristic algorithms Localization Matrix decomposition Motor units Muscle, Skeletal Neuromuscular diseases non-negative matrix factorization Reproducibility of Results Signal-To-Noise Ratio Surface waves Three-dimensional displays
ISSN:	0018-9294, 1558-2531, 1558-2531
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