Cargando…
Detection of Heart Arrhythmia on Electrocardiogram using Artificial Neural Networks
The electrocardiogram, also known as an electrocardiogram (ECG), is considered to be one of the most significant sources of data regarding the structure and function of the heart. In order to obtain an electrocardiogram, the contractions and relaxations of the heart are first captured in the proper...
Autores principales: | Badr, Malek, Al-Otaibi, Shaha, Alturki, Nazik, Abir, Tanvir |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9410968/ https://www.ncbi.nlm.nih.gov/pubmed/36035826 http://dx.doi.org/10.1155/2022/1094830 |
Ejemplares similares
-
Deep Learning-Based Networks for Detecting Anomalies in Chest X-Rays
por: Badr, Malek, et al.
Publicado: (2022) -
Retracted: Detection of Heart Arrhythmia on Electrocardiogram using Artificial Neural Networks
por: Intelligence and Neuroscience, Computational
Publicado: (2023) -
Arrhythmia Identification with Two-Lead Electrocardiograms Using Artificial Neural Networks and Support Vector Machines for a Portable ECG Monitor System
por: Liu, Shing-Hong, et al.
Publicado: (2013) -
Privacy-Preserving Electrocardiogram Monitoring for Intelligent Arrhythmia Detection †
por: Son, Junggab, et al.
Publicado: (2017) -
Arrhythmia classification detection based on multiple electrocardiograms databases
por: Qi, Meng, et al.
Publicado: (2023)