Evaluation of Hemodialysis Arteriovenous Bruit by Deep Learning

Evaluation of Hemodialysis Arteriovenous Bruit by Deep Learning

Physical findings of auscultation cannot be quantified at the arteriovenous fistula examination site during daily dialysis treatment. Consequently, minute changes over time cannot be recorded based only on subjective observations. In this study, we sought to supplement the daily arteriovenous fistul...

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Bibliographic Details
Main Authors: Keisuke Ota, Yousuke Nishiura, Saki Ishihara, Hihoko Adachi, Takehisa Yamamoto, Takayuki Hamano
Format: Article
Language:English
Published: MDPI AG 2020-08-01
Series:Sensors
Subjects:
hemodialysis patient
deep learning
arteriovenous fistula
shunt sound
artificial intelligence
auscultation
Online Access:https://www.mdpi.com/1424-8220/20/17/4852

Internet

https://www.mdpi.com/1424-8220/20/17/4852

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