Unsupervised Phonocardiogram Analysis With Distribution Density Based Variational Auto-Encoders
This paper proposes an unsupervised way for Phonocardiogram (PCG) analysis, which uses a revised auto encoder based on distribution density estimation in the latent space. Auto encoders especially Variational Auto-Encoders (VAEs) and its variant β−VAE are considered as one of the state-of-the-art me...
Main Authors: | Shengchen Li, Ke Tian |
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Format: | Article |
Language: | English |
Published: |
Frontiers Media S.A.
2021-08-01
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Series: | Frontiers in Medicine |
Subjects: | |
Online Access: | https://www.frontiersin.org/articles/10.3389/fmed.2021.655084/full |
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