Cargando…
Efficient Extraction of Deep Image Features Using a Convolutional Neural Network (CNN) for Detecting Ventricular Fibrillation and Tachycardia
To safely select the proper therapy for ventricular fibrillation ([Formula: see text]), it is essential to distinguish it correctly from ventricular tachycardia ([Formula: see text]) and other rhythms. Provided that the required therapy is not the same, an erroneous detection might lead to serious i...
Autores principales: | Mjahad, Azeddine, Saban, Mohamed, Azarmdel, Hossein, Rosado-Muñoz, Alfredo |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10532022/ https://www.ncbi.nlm.nih.gov/pubmed/37754954 http://dx.doi.org/10.3390/jimaging9090190 |
Ejemplares similares
-
CNN-CNN: Dual Convolutional Neural Network Approach for Feature Selection and Attack Detection on Internet of Things Networks
por: Alabsi, Basim Ahmad, et al.
Publicado: (2023) -
Multi- class classification of breast cancer abnormalities using Deep Convolutional Neural Network (CNN)
por: Heenaye-Mamode Khan, Maleika, et al.
Publicado: (2021) -
FRD-CNN: Object detection based on small-scale convolutional neural networks and feature reuse
por: Li, Wei, et al.
Publicado: (2019) -
Top Quark Tagging Using Convolutional Neural Network (CNN)
por: Beshr, Aya
Publicado: (2019) -
CNN-MGP: Convolutional Neural Networks for Metagenomics Gene Prediction
por: Al-Ajlan, Amani, et al.
Publicado: (2018)