Analysis of Gastrointestinal Acoustic Activity Using Deep Neural Networks

Analysis of Gastrointestinal Acoustic Activity Using Deep Neural Networks

Automated bowel sound (BS) analysis methods were already well developed by the early 2000s. Accuracy of ~90% had been achieved by several teams using various analytical approaches. Clinical research on BS had revealed their high potential in the non-invasive investigation of irritable bowel syndrome...

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Bibliographic Details
Main Authors: Jakub Ficek, Kacper Radzikowski, Jan Krzysztof Nowak, Osamu Yoshie, Jaroslaw Walkowiak, Robert Nowak
Format: Article
Language:English
Published: MDPI AG 2021-11-01
Series:Sensors
Subjects:
sound analysis
bowel sounds
gastroenterology
machine learning
neural network
deep learning
Online Access:https://www.mdpi.com/1424-8220/21/22/7602

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