Detection and Severity Assessment of Peripheral Occlusive Artery Disease via Deep Learning Analysis of Arterial Pulse Waveforms: Proof-of-Concept and Potential Challenges

Toward the ultimate goal of affordable and non-invasive screening of peripheral occlusive artery disease (PAD), the objective of this work is to investigate the potential of deep learning-based arterial pulse waveform analysis in detecting and assessing the severity of PAD. Using an established tran...

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Detalles Bibliográficos
Autores principales: Kim, Sooho, Hahn, Jin-Oh, Youn, Byeng Dong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2020
Materias:
Bioengineering and Biotechnology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7340176/
https://www.ncbi.nlm.nih.gov/pubmed/32714911
http://dx.doi.org/10.3389/fbioe.2020.00720

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7340176/
https://www.ncbi.nlm.nih.gov/pubmed/32714911
http://dx.doi.org/10.3389/fbioe.2020.00720

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