Cargando…
A Cloud-Based Machine Learning Approach to Reduce Noise in ECG Arrhythmias for Smart Healthcare Services
ECG (electrocardiogram) identifies and traces targets and is commonly employed in cardiac disease detection. It is necessary for monitoring precise target trajectories. Estimations of ECG are nonlinear as the parameters TDEs (time delays) and Doppler shifts are computed on receipt of echoes where EK...
Autores principales: | Jain, Paras, Alsanie, Walaa F., Gago, Dulio Oseda, Altamirano, Gilder Cieza, Sandoval Núñez, Rafaél Artidoro, Rizwan, Ali, Asakipaam, Simon Atuah |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9256335/ https://www.ncbi.nlm.nih.gov/pubmed/35800697 http://dx.doi.org/10.1155/2022/3773883 |
Ejemplares similares
-
Analytical Solution to a Third-Order Rational Difference Equation
por: Salas S., Alvaro H., et al.
Publicado: (2023) -
Arrhythmia ECG Noise Reduction by Ensemble Empirical Mode Decomposition
por: Chang, Kang-Ming
Publicado: (2010) -
Cryptography-Based Medical Signal Securing Using Improved Variation Mode Decomposition with Machine Learning Techniques
por: Shukla, Piyush, et al.
Publicado: (2022) -
Solution to a Damped Duffing Equation Using He's Frequency Approach
por: Salas, Alvaro H. S., et al.
Publicado: (2022) -
Analytical Solution to the Generalized Complex Duffing Equation
por: Salas S, Alvaro H., et al.
Publicado: (2022)