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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...
Autores principales: | Li, Shengchen, Tian, Ke |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8374324/ https://www.ncbi.nlm.nih.gov/pubmed/34422847 http://dx.doi.org/10.3389/fmed.2021.655084 |
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