Arrhythmia Identification with Two-Lead Electrocardiograms Using Artificial Neural Networks and Support Vector Machines for a Portable ECG Monitor System

An automatic configuration that can detect the position of R-waves, classify the normal sinus rhythm (NSR) and other four arrhythmic types from the continuous ECG signals obtained from the MIT-BIH arrhythmia database is proposed. In this configuration, a support vector machine (SVM) was used to dete...

Descripción completa

Detalles Bibliográficos
Autores principales: Liu, Shing-Hong, Cheng, Da-Chuan, Lin, Chih-Ming
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2013
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3574706/
https://www.ncbi.nlm.nih.gov/pubmed/23303379
http://dx.doi.org/10.3390/s130100813

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3574706/
https://www.ncbi.nlm.nih.gov/pubmed/23303379
http://dx.doi.org/10.3390/s130100813

Ejemplares similares