Cargando…
Deep learning for comprehensive ECG annotation
BACKGROUND: Increasing utilization of long-term outpatient ambulatory electrocardiographic (ECG) monitoring continues to drive the need for improved ECG interpretation algorithms. OBJECTIVE: The purpose of this study was to describe the BeatLogic® platform for ECG interpretation and to validate the...
Autores principales: | Teplitzky, Benjamin A., McRoberts, Michael, Ghanbari, Hamid |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9247885/ https://www.ncbi.nlm.nih.gov/pubmed/32354454 http://dx.doi.org/10.1016/j.hrthm.2020.02.015 |
Ejemplares similares
-
ECG Classification for Detecting ECG Arrhythmia Empowered with Deep Learning Approaches
por: Rahman, Atta-ur, et al.
Publicado: (2022) -
Model-Based Comparison of Deep Brain Stimulation Array Functionality with Varying Number of Radial Electrodes and Machine Learning Feature Sets
por: Teplitzky, Benjamin A., et al.
Publicado: (2016) -
Hyperglycemia Identification Using ECG in Deep Learning Era
por: Cordeiro, Renato, et al.
Publicado: (2021) -
Deep learning unmasks the ECG signature of Brugada syndrome
por: Melo, Luke, et al.
Publicado: (2023) -
ECG Paper Record Digitization and Diagnosis Using Deep Learning
por: Mishra, Siddharth, et al.
Publicado: (2021)