Cargando…
Automatic QRS complex detection using two-level convolutional neural network
BACKGROUND: The QRS complex is the most noticeable feature in the electrocardiogram (ECG) signal, therefore, its detection is critical for ECG signal analysis. The existing detection methods largely depend on hand-crafted manual features and parameters, which may introduce significant computational...
Autores principales: | Xiang, Yande, Lin, Zhitao, Meng, Jianyi |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2018
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5789562/ https://www.ncbi.nlm.nih.gov/pubmed/29378580 http://dx.doi.org/10.1186/s12938-018-0441-4 |
Ejemplares similares
-
Automatic detection of contouring errors using convolutional neural networks
por: Rhee, Dong Joo, et al.
Publicado: (2019) -
Optimization of the Convolutional Neural Networks for Automatic Detection of Skin Cancer
por: Zhang, Long, et al.
Publicado: (2020) -
Automatic Detection of Depression in Speech Using Ensemble Convolutional Neural Networks
por: Vázquez-Romero, Adrián, et al.
Publicado: (2020) -
Convolutional neural network for automatic detection and characterization of abdominal aortic aneurysm
por: Lareyre, Fabien, et al.
Publicado: (2023) -
Effective automatic detection of anterior cruciate ligament injury using convolutional neural network with two attention mechanism modules
por: Liang, Chen, et al.
Publicado: (2023)