Cargando…
An IoT and Fog Computing-Based Monitoring System for Cardiovascular Patients with Automatic ECG Classification Using Deep Neural Networks
Telemedicine and all types of monitoring systems have proven to be a useful and low-cost tool with a high level of applicability in cardiology. The objective of this work is to present an IoT-based monitoring system for cardiovascular patients. The system sends the ECG signal to a Fog layer service...
Autores principales: | Rincon, Jaime A., Guerra-Ojeda, Solanye, Carrascosa, Carlos, Julian, Vicente |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7767482/ https://www.ncbi.nlm.nih.gov/pubmed/33371514 http://dx.doi.org/10.3390/s20247353 |
Ejemplares similares
-
Integrating ECG Monitoring and Classification via IoT and Deep Neural Networks
por: Yeh, Li-Ren, et al.
Publicado: (2021) -
Fog for 5G and IoT
por: Chiang, Mung, et al.
Publicado: (2017) -
Fog-enabled intelligent IoT systems
por: Yang, Yang, et al.
Publicado: (2019) -
An IoT-Based Fog Computing Model
por: Ma, Kun, et al.
Publicado: (2019) -
FogFrame: a framework for IoT application execution in the fog
por: Skarlat, Olena, et al.
Publicado: (2021)