ECG Generation With Sequence Generative Adversarial Nets Optimized by Policy Gradient

ECG Generation With Sequence Generative Adversarial Nets Optimized by Policy Gradient

Electrocardiogram (ECG) is a method used by physicians to detect cardiac disease. Requirements for batch processing and accurate recognition of clinical data have led to the applications of deep-learning methods for feature extraction, classification, and denoising of ECGs; however, deep learning re...

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Bibliographic Details
Main Authors: Fei Ye, Fei Zhu, Yuchen Fu, Bairong Shen
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Deep learning
generative adversarial networks
policy gradient
electrocardiogram
time series
Online Access:https://ieeexplore.ieee.org/document/8887504/

Internet

https://ieeexplore.ieee.org/document/8887504/

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