Detection of myocardial ischemia by intracoronary ECG using convolutional neural networks.
<h4>Introduction</h4>The electrocardiogram (ECG) is a valuable tool for the diagnosis of myocardial ischemia as it presents distinctive ischemic patterns. Deep learning methods such as convolutional neural networks (CNN) are employed to extract data-derived features and to recognize natu...
Guardado en:
Autores principales: | Marius Reto Bigler, Christian Seiler |
---|---|
Formato: | article |
Lenguaje: | EN |
Publicado: |
Public Library of Science (PLoS)
2021
|
Materias: | |
Acceso en línea: | https://doaj.org/article/535c46b521e84a38874ae6ea4fcff047 |
Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
-
Goosegrass Detection in Strawberry and Tomato Using a Convolutional Neural Network
por: Shaun M. Sharpe, et al.
Publicado: (2020) -
Automated detection of mouse scratching behaviour using convolutional recurrent neural network
por: Koji Kobayashi, et al.
Publicado: (2021) -
The stability of flow velocity and intracoronary resistance in the intracoronary electrocardiogram-triggered pressure ratio
por: Masafumi Nakayama, et al.
Publicado: (2021) -
Automated stomata detection in oil palm with convolutional neural network
por: Qi Bin Kwong, et al.
Publicado: (2021) -
Spectrum of clinical applications of interlead ECG heterogeneity assessment: From myocardial ischemia detection to sudden cardiac death risk stratification
por: Richard L. Verrier, et al.
Publicado: (2021)