Cargando…
Noise-assisted multivariate empirical mode decomposition for multichannel EMG signals
BACKGROUND: Ensemble Empirical Mode Decomposition (EEMD) has been popularised for single-channel Electromyography (EMG) signal processing as it can effectively extract the temporal information of the EMG time series. However, few papers examine the temporal and spatial characteristics across multipl...
Autores principales: | Zhang, Yi, Xu, Peng, Li, Peiyang, Duan, Keyi, Wen, Yuexin, Yang, Qin, Zhang, Tao, Yao, Dezhong |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2017
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5569569/ https://www.ncbi.nlm.nih.gov/pubmed/28835251 http://dx.doi.org/10.1186/s12938-017-0397-9 |
Ejemplares similares
-
Matlab Open Source Code: Noise-Assisted Multivariate Empirical Mode Decomposition Based Causal Decomposition for Causality Inference of Bivariate Time Series
por: Zhang, Yi, et al.
Publicado: (2022) -
Intelligent Monitoring System Based on Noise-Assisted Multivariate Empirical Mode Decomposition Feature Extraction and Neural Networks
por: Zhao, Le Fa, et al.
Publicado: (2022) -
Multichannel Surface EMG Decomposition Based on Measurement Correlation and LMMSE
por: Ning, Yong, et al.
Publicado: (2018) -
Multiclass classification of imagined speech EEG using noise-assisted multivariate empirical mode decomposition and multireceptive field convolutional neural network
por: Park, Hyeong-jun, et al.
Publicado: (2023) -
Arrhythmia ECG Noise Reduction by Ensemble Empirical Mode Decomposition
por: Chang, Kang-Ming
Publicado: (2010)