Automated Bowel Sound Analysis: An Overview
Despite technological progress, we lack a consensus on the method of conducting automated bowel sound (BS) analysis and, consequently, BS tools have not become available to doctors. We aimed to briefly review the literature on BS recording and analysis, with an emphasis on the broad range of analyti...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2021-08-01
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| Series: | Sensors |
| Subjects: | |
| Online Access: | https://www.mdpi.com/1424-8220/21/16/5294 |
| _version_ | 1797522179919708160 |
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| author | Jan Krzysztof Nowak Robert Nowak Kacper Radzikowski Ireneusz Grulkowski Jaroslaw Walkowiak |
| author_facet | Jan Krzysztof Nowak Robert Nowak Kacper Radzikowski Ireneusz Grulkowski Jaroslaw Walkowiak |
| author_sort | Jan Krzysztof Nowak |
| collection | DOAJ |
| description | Despite technological progress, we lack a consensus on the method of conducting automated bowel sound (BS) analysis and, consequently, BS tools have not become available to doctors. We aimed to briefly review the literature on BS recording and analysis, with an emphasis on the broad range of analytical approaches. Scientific journals and conference materials were researched with a specific set of terms (Scopus, MEDLINE, IEEE) to find reports on BS. The research articles identified were analyzed in the context of main research directions at a number of centers globally. Automated BS analysis methods were already well developed by the early 2000s. Accuracy of 90% and higher had been achieved with various analytical approaches, including wavelet transformations, multi-layer perceptrons, independent component analysis and autoregressive-moving-average models. Clinical research on BS has exposed their important potential in the non-invasive diagnosis of irritable bowel syndrome, in surgery, and for the investigation of gastrointestinal motility. The most recent advances are linked to the application of artificial intelligence and the development of dedicated BS devices. BS research is technologically mature, but lacks uniform methodology, an international forum for discussion and an open platform for data exchange. A common ground is needed as a starting point. The next key development will be the release of freely available benchmark datasets with labels confirmed by human experts. |
| first_indexed | 2024-03-10T08:24:49Z |
| format | Article |
| id | doaj.art-dae766696e1f43a58fe71f0ce9337dbb |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-03-10T08:24:49Z |
| publishDate | 2021-08-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-dae766696e1f43a58fe71f0ce9337dbb2023-11-22T09:37:12ZengMDPI AGSensors1424-82202021-08-012116529410.3390/s21165294Automated Bowel Sound Analysis: An OverviewJan Krzysztof Nowak0Robert Nowak1Kacper Radzikowski2Ireneusz Grulkowski3Jaroslaw Walkowiak4Department of Pediatric Gastroenterology and Metabolic Diseases, Poznan University of Medical Sciences, 60-572 Poznan, PolandArtificial Intelligence Division, Institute of Computer Science, Warsaw University of Technology, 00-665 Warsaw, PolandArtificial Intelligence Division, Institute of Computer Science, Warsaw University of Technology, 00-665 Warsaw, PolandFaculty of Physics, Astronomy and Informatics, Institute of Physics, Nicolaus Copernicus University, 87-100 Toruń, PolandDepartment of Pediatric Gastroenterology and Metabolic Diseases, Poznan University of Medical Sciences, 60-572 Poznan, PolandDespite technological progress, we lack a consensus on the method of conducting automated bowel sound (BS) analysis and, consequently, BS tools have not become available to doctors. We aimed to briefly review the literature on BS recording and analysis, with an emphasis on the broad range of analytical approaches. Scientific journals and conference materials were researched with a specific set of terms (Scopus, MEDLINE, IEEE) to find reports on BS. The research articles identified were analyzed in the context of main research directions at a number of centers globally. Automated BS analysis methods were already well developed by the early 2000s. Accuracy of 90% and higher had been achieved with various analytical approaches, including wavelet transformations, multi-layer perceptrons, independent component analysis and autoregressive-moving-average models. Clinical research on BS has exposed their important potential in the non-invasive diagnosis of irritable bowel syndrome, in surgery, and for the investigation of gastrointestinal motility. The most recent advances are linked to the application of artificial intelligence and the development of dedicated BS devices. BS research is technologically mature, but lacks uniform methodology, an international forum for discussion and an open platform for data exchange. A common ground is needed as a starting point. The next key development will be the release of freely available benchmark datasets with labels confirmed by human experts.https://www.mdpi.com/1424-8220/21/16/5294bowel soundautomated analysisintestinemotilityrecording |
| spellingShingle | Jan Krzysztof Nowak Robert Nowak Kacper Radzikowski Ireneusz Grulkowski Jaroslaw Walkowiak Automated Bowel Sound Analysis: An Overview Sensors bowel sound automated analysis intestine motility recording |
| title | Automated Bowel Sound Analysis: An Overview |
| title_full | Automated Bowel Sound Analysis: An Overview |
| title_fullStr | Automated Bowel Sound Analysis: An Overview |
| title_full_unstemmed | Automated Bowel Sound Analysis: An Overview |
| title_short | Automated Bowel Sound Analysis: An Overview |
| title_sort | automated bowel sound analysis an overview |
| topic | bowel sound automated analysis intestine motility recording |
| url | https://www.mdpi.com/1424-8220/21/16/5294 |
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