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ID 118870
Author
Haraguchi, Takeyuki Tokushima University
Hirayama, Takahiro Daikin Industries
Imai, Yuki Daikin Industries
Kato, Masahiro Daikin Industries
Hirano, Tomoya Daikin Industries
Keywords
bowel sound
frequency-domain analysis
peak-frequency histogram similarity
intestinal conditions
Content Type
Journal Article
Description
Many patients worldwide suffer from constipation, which reduces their quality of life (QOL) over the long term. Carbonated water intake is expected to improve constipation by improving intestinal motility. Conversely, carbonated water intake is believed to alter bowel status via the intestinal contents (gas and liquid) and intestinal distension, and these changes may be reflected in bowel sound (BS) peak-frequency histograms. In this study, to identify changes in intestinal conditions before and after the ingestion of liquid (i.e., water/carbonated water intake), we used a novel evaluation index, namely peak-frequency histogram similarity (PFHS), which measures the changes in the peak-frequency histogram before and after liquid intake. We considered 13 subjects who participated in a liquid intake test, and PFHS values before and after carbonated water intake were found to be significantly lower than those before and after cold water intake (p < 0.01). However, when using conventional frequency-domain features, this difference was not identified. The results obtained in this study suggest that PFHS can identify changes in bowel status (including intestinal gas and distension) that could not be found using conventional BS frequency domain features. Our findings provide a novel method of research for investigators to non-invasively monitor and evaluate intestinal conditions such as the intestinal gas volume and intestinal distention, which are associated with constipation, using a BS-based approach.
Journal Title
Applied Sciences
ISSN
20763417
Publisher
MDPI
Volume
13
Issue
3
Start Page
1405
Published Date
2023-01-20
Rights
This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
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DOI (Published Version)
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language
eng
TextVersion
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departments
Science and Technology