Biosignals learning and synthesis using deep neural networks

Abstract Background Modeling physiological signals is a complex task both for understanding and synthesize biomedical signals. We propose a deep neural network model that learns and synthesizes biosignals, validated by the morphological equivalence of the original ones. This research could lead the...

Full description

Bibliographic Details
Main Authors: David Belo, João Rodrigues, João R. Vaz, Pedro Pezarat-Correia, Hugo Gamboa
Format: Article
Language:English
Published: BMC 2017-09-01
Series:BioMedical Engineering OnLine
Subjects:
DNN
GRU
ECG
Online Access:http://link.springer.com/article/10.1186/s12938-017-0405-0