ECG data compression using a neural network model based on multi-objective optimization

Electrocardiogram (ECG) data analysis is of great significance to the diagnosis of cardiovascular disease. ECG compression should be processed in real time, and the data should be based on lossless compression and have high predictability. In terms of the real time aspect, short-time Fourier transfo...

Descripción completa

Detalles Bibliográficos
Autores principales: Zhang, Bo, Zhao, Jiasheng, Chen, Xiao, Wu, Jianhuang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2017
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5626036/
https://www.ncbi.nlm.nih.gov/pubmed/28972986
http://dx.doi.org/10.1371/journal.pone.0182500

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5626036/
https://www.ncbi.nlm.nih.gov/pubmed/28972986
http://dx.doi.org/10.1371/journal.pone.0182500

Ejemplares similares