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Practicing Digital Gastroenterology through Phonoenterography Leveraging Artificial Intelligence: Future Perspectives Using Microwave Systems
Production of bowel sounds, established in the 1900s, has limited application in existing patient-care regimes and diagnostic modalities. We review the physiology of bowel sound production, the developments in recording technologies and the clinical application in various scenarios, to understand th...
Autores principales: | , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9967043/ https://www.ncbi.nlm.nih.gov/pubmed/36850899 http://dx.doi.org/10.3390/s23042302 |
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author | Redij, Renisha Kaur, Avneet Muddaloor, Pratyusha Sethi, Arshia K. Aedma, Keirthana Rajagopal, Anjali Gopalakrishnan, Keerthy Yadav, Ashima Damani, Devanshi N. Chedid, Victor G. Wang, Xiao Jing Aakre, Christopher A. Ryu, Alexander J. Arunachalam, Shivaram P. |
author_facet | Redij, Renisha Kaur, Avneet Muddaloor, Pratyusha Sethi, Arshia K. Aedma, Keirthana Rajagopal, Anjali Gopalakrishnan, Keerthy Yadav, Ashima Damani, Devanshi N. Chedid, Victor G. Wang, Xiao Jing Aakre, Christopher A. Ryu, Alexander J. Arunachalam, Shivaram P. |
author_sort | Redij, Renisha |
collection | PubMed |
description | Production of bowel sounds, established in the 1900s, has limited application in existing patient-care regimes and diagnostic modalities. We review the physiology of bowel sound production, the developments in recording technologies and the clinical application in various scenarios, to understand the potential of a bowel sound recording and analysis device—the phonoenterogram in future gastroenterological practice. Bowel sound production depends on but is not entirely limited to the type of food consumed, amount of air ingested and the type of intestinal contractions. Recording technologies for extraction and analysis of these include the wavelet-based filtering, autoregressive moving average model, multivariate empirical mode decompression, radial basis function network, two-dimensional positional mapping, neural network model and acoustic biosensor technique. Prior studies evaluate the application of bowel sounds in conditions such as intestinal obstruction, acute appendicitis, large bowel disorders such as inflammatory bowel disease and bowel polyps, ascites, post-operative ileus, sepsis, irritable bowel syndrome, diabetes mellitus, neurodegenerative disorders such as Parkinson’s disease and neonatal conditions such as hypertrophic pyloric stenosis. Recording and analysis of bowel sounds using artificial intelligence is crucial for creating an accessible, inexpensive and safe device with a broad range of clinical applications. Microwave-based digital phonoenterography has huge potential for impacting GI practice and patient care. |
format | Online Article Text |
id | pubmed-9967043 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-99670432023-02-26 Practicing Digital Gastroenterology through Phonoenterography Leveraging Artificial Intelligence: Future Perspectives Using Microwave Systems Redij, Renisha Kaur, Avneet Muddaloor, Pratyusha Sethi, Arshia K. Aedma, Keirthana Rajagopal, Anjali Gopalakrishnan, Keerthy Yadav, Ashima Damani, Devanshi N. Chedid, Victor G. Wang, Xiao Jing Aakre, Christopher A. Ryu, Alexander J. Arunachalam, Shivaram P. Sensors (Basel) Review Production of bowel sounds, established in the 1900s, has limited application in existing patient-care regimes and diagnostic modalities. We review the physiology of bowel sound production, the developments in recording technologies and the clinical application in various scenarios, to understand the potential of a bowel sound recording and analysis device—the phonoenterogram in future gastroenterological practice. Bowel sound production depends on but is not entirely limited to the type of food consumed, amount of air ingested and the type of intestinal contractions. Recording technologies for extraction and analysis of these include the wavelet-based filtering, autoregressive moving average model, multivariate empirical mode decompression, radial basis function network, two-dimensional positional mapping, neural network model and acoustic biosensor technique. Prior studies evaluate the application of bowel sounds in conditions such as intestinal obstruction, acute appendicitis, large bowel disorders such as inflammatory bowel disease and bowel polyps, ascites, post-operative ileus, sepsis, irritable bowel syndrome, diabetes mellitus, neurodegenerative disorders such as Parkinson’s disease and neonatal conditions such as hypertrophic pyloric stenosis. Recording and analysis of bowel sounds using artificial intelligence is crucial for creating an accessible, inexpensive and safe device with a broad range of clinical applications. Microwave-based digital phonoenterography has huge potential for impacting GI practice and patient care. MDPI 2023-02-18 /pmc/articles/PMC9967043/ /pubmed/36850899 http://dx.doi.org/10.3390/s23042302 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. 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/). |
spellingShingle | Review Redij, Renisha Kaur, Avneet Muddaloor, Pratyusha Sethi, Arshia K. Aedma, Keirthana Rajagopal, Anjali Gopalakrishnan, Keerthy Yadav, Ashima Damani, Devanshi N. Chedid, Victor G. Wang, Xiao Jing Aakre, Christopher A. Ryu, Alexander J. Arunachalam, Shivaram P. Practicing Digital Gastroenterology through Phonoenterography Leveraging Artificial Intelligence: Future Perspectives Using Microwave Systems |
title | Practicing Digital Gastroenterology through Phonoenterography Leveraging Artificial Intelligence: Future Perspectives Using Microwave Systems |
title_full | Practicing Digital Gastroenterology through Phonoenterography Leveraging Artificial Intelligence: Future Perspectives Using Microwave Systems |
title_fullStr | Practicing Digital Gastroenterology through Phonoenterography Leveraging Artificial Intelligence: Future Perspectives Using Microwave Systems |
title_full_unstemmed | Practicing Digital Gastroenterology through Phonoenterography Leveraging Artificial Intelligence: Future Perspectives Using Microwave Systems |
title_short | Practicing Digital Gastroenterology through Phonoenterography Leveraging Artificial Intelligence: Future Perspectives Using Microwave Systems |
title_sort | practicing digital gastroenterology through phonoenterography leveraging artificial intelligence: future perspectives using microwave systems |
topic | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9967043/ https://www.ncbi.nlm.nih.gov/pubmed/36850899 http://dx.doi.org/10.3390/s23042302 |
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