Cargando…
A deep neural network using audio files for detection of aortic stenosis
BACKGROUND: Although aortic stenosis (AS) is the most common valvular heart disease in the western world, many affected patients remain undiagnosed. Auscultation is a readily available screening tool for AS. However, it requires a high level of professional expertise. HYPOTHESIS: An AI algorithm can...
Autores principales: | Voigt, Ingo, Boeckmann, Marc, Bruder, Oliver, Wolf, Alexander, Schmitz, Thomas, Wieneke, Heinrich |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9175247/ https://www.ncbi.nlm.nih.gov/pubmed/35438211 http://dx.doi.org/10.1002/clc.23826 |
Ejemplares similares
-
Dataset for file fragment classification of audio file formats
por: Khodadadi, Atieh, et al.
Publicado: (2019) -
Predicting progression of aortic stenosis by measuring serum calcification propensity
por: Kurmann, Reto, et al.
Publicado: (2022) -
B‐type natriuretic peptide is associated with remodeling and exercise capacity after transcatheter aortic valve replacement for aortic stenosis
por: Sato, Kimi, et al.
Publicado: (2018) -
File interchange handbook: for professional images, audio and metadata
por: Gilmer, Brad
Publicado: (2004) -
Hiding data in audio files: A smoothing-based approach to improve the quality of the stego audio
por: Ahmad, Tohari, et al.
Publicado: (2020)