Research on AR-AKF Model Denoising of the EMG Signal
Electromyography (EMG) signals can be used for clinical diagnosis and biomedical applications. It is very important to reduce noise and to acquire accurate signals for the usage of the EMG signals in biomedical engineering. Since EMG signal noise has the time-varying and random characteristics, the...
Guardado en:
Autores principales: | Sijia Chen, Zhizeng Luo, Tong Hua |
---|---|
Formato: | article |
Lenguaje: | EN |
Publicado: |
Hindawi Limited
2021
|
Materias: | |
Acceso en línea: | https://doaj.org/article/4044702b6e1144bfaec872705cc95461 |
Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
-
Analysis on Characteristics of Magnetic Resonance Imaging Image under Low-Rank Matrix Denoising Algorithm in the Diagnosis of Cerebral Aneurysm
por: Jun Li, et al.
Publicado: (2021) -
Empowering clinical research in a decentralized world
por: Walter De Brouwer, et al.
Publicado: (2021) -
Privacy-first health research with federated learning
por: Adam Sadilek, et al.
Publicado: (2021) -
Mobile Health: making the leap to research and clinics
por: Joy P. Ku, et al.
Publicado: (2021) -
Quantifying the use of connected digital products in clinical research
por: Caroline Marra, et al.
Publicado: (2020)