Cargando…
ECG-COVID: An end-to-end deep model based on electrocardiogram for COVID-19 detection
The early and accurate detection of COVID-19 is vital nowadays to avoid the vast and rapid spread of this virus and ease lockdown restrictions. As a result, researchers developed methods to diagnose COVID-19. However, these methods have several limitations. Therefore, presenting new methods is essen...
Autores principales: | Sakr, Ahmed S., Pławiak, Paweł, Tadeusiewicz, Ryszard, Pławiak, Joanna, Sakr, Mohamed, Hammad, Mohamed |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier Inc.
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9673093/ https://www.ncbi.nlm.nih.gov/pubmed/36415325 http://dx.doi.org/10.1016/j.ins.2022.11.069 |
Ejemplares similares
-
SCovNet: A skip connection-based feature union deep learning technique with statistical approach analysis for the detection of COVID-19
por: Patro, Kiran Kumar, et al.
Publicado: (2023) -
Efficient Lightweight Multimodel Deep Fusion Based on ECG for Arrhythmia Classification
por: Hammad, Mohamed, et al.
Publicado: (2022) -
AuCFSR: Authentication and Color Face Self-Recovery Using Novel 2D Hyperchaotic System and Deep Learning Models
por: Daoui, Achraf, et al.
Publicado: (2023) -
Enhanced Deep Learning Approach for Accurate Eczema and Psoriasis Skin Detection
por: Hammad, Mohamed, et al.
Publicado: (2023) -
A Multi-Attention Approach for Person Re-Identification Using Deep Learning
por: Saber, Shimaa, et al.
Publicado: (2023)