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...
Main Authors: | , , , , |
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Format: | Article |
Language: | English |
Published: |
BMC
2017-09-01
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Series: | BioMedical Engineering OnLine |
Subjects: | |
Online Access: | http://link.springer.com/article/10.1186/s12938-017-0405-0 |