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Gastric functional monitoring by gastric electrical impedance tomography (gEIT) suit with dual-step fuzzy clustering
Gastric Function has been successfully estimated by gastric electrical impedance tomography (gEIT) Suit with dual-step fuzzy clustering. The gEIT Suit which are made of elastic cloth with dual-planar electrodes and compact data acquisition (DAQ) system measures gastric impedance Z to visualize the g...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9832012/ https://www.ncbi.nlm.nih.gov/pubmed/36627333 http://dx.doi.org/10.1038/s41598-022-27060-7 |
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author | Sakai, K. Darma, P. N. Sejati, P. A. Wicaksono, R. Hayashi, H. Takei, M. |
author_facet | Sakai, K. Darma, P. N. Sejati, P. A. Wicaksono, R. Hayashi, H. Takei, M. |
author_sort | Sakai, K. |
collection | PubMed |
description | Gastric Function has been successfully estimated by gastric electrical impedance tomography (gEIT) Suit with dual-step fuzzy clustering. The gEIT Suit which are made of elastic cloth with dual-planar electrodes and compact data acquisition (DAQ) system measures gastric impedance Z to visualize the gastric conductivity distribution σ. The dual-step fuzzy clustering extracts the clustered gastric conductivity distribution (k)σ, which accurately estimates the gastric function. The gEIT Suit with dual-step fuzzy clustering are applied to eight healthy persons during liquid meal consumption to estimate the gastric function under gastric accommodation phase of 200, 400 and 600 mL based on the gastric emptying phase. As the results, the gEIT Suit successfully estimate the gastric function. By the measured impedance Z, the subjects have a mean temporal impedance [Formula: see text] = − 9.27 [Ohm] and p-value of that [Formula: see text] p(Z) = 0.0013[–]as the t-test result. In the case of gastric conductivity distribution σ, the subjects have a value of spatial mean conductivity distribution ⟨σ⟩ = 0.23[–] and p-value of that ⟨σ⟩ p(σ) = 0.0140[–]. Lastly, in the case gastric volume V, subjects have a gastric volume V = 12.44 [%] and p-value p(V) = 0.0664[–]. |
format | Online Article Text |
id | pubmed-9832012 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-98320122023-01-12 Gastric functional monitoring by gastric electrical impedance tomography (gEIT) suit with dual-step fuzzy clustering Sakai, K. Darma, P. N. Sejati, P. A. Wicaksono, R. Hayashi, H. Takei, M. Sci Rep Article Gastric Function has been successfully estimated by gastric electrical impedance tomography (gEIT) Suit with dual-step fuzzy clustering. The gEIT Suit which are made of elastic cloth with dual-planar electrodes and compact data acquisition (DAQ) system measures gastric impedance Z to visualize the gastric conductivity distribution σ. The dual-step fuzzy clustering extracts the clustered gastric conductivity distribution (k)σ, which accurately estimates the gastric function. The gEIT Suit with dual-step fuzzy clustering are applied to eight healthy persons during liquid meal consumption to estimate the gastric function under gastric accommodation phase of 200, 400 and 600 mL based on the gastric emptying phase. As the results, the gEIT Suit successfully estimate the gastric function. By the measured impedance Z, the subjects have a mean temporal impedance [Formula: see text] = − 9.27 [Ohm] and p-value of that [Formula: see text] p(Z) = 0.0013[–]as the t-test result. In the case of gastric conductivity distribution σ, the subjects have a value of spatial mean conductivity distribution ⟨σ⟩ = 0.23[–] and p-value of that ⟨σ⟩ p(σ) = 0.0140[–]. Lastly, in the case gastric volume V, subjects have a gastric volume V = 12.44 [%] and p-value p(V) = 0.0664[–]. Nature Publishing Group UK 2023-01-10 /pmc/articles/PMC9832012/ /pubmed/36627333 http://dx.doi.org/10.1038/s41598-022-27060-7 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Sakai, K. Darma, P. N. Sejati, P. A. Wicaksono, R. Hayashi, H. Takei, M. Gastric functional monitoring by gastric electrical impedance tomography (gEIT) suit with dual-step fuzzy clustering |
title | Gastric functional monitoring by gastric electrical impedance tomography (gEIT) suit with dual-step fuzzy clustering |
title_full | Gastric functional monitoring by gastric electrical impedance tomography (gEIT) suit with dual-step fuzzy clustering |
title_fullStr | Gastric functional monitoring by gastric electrical impedance tomography (gEIT) suit with dual-step fuzzy clustering |
title_full_unstemmed | Gastric functional monitoring by gastric electrical impedance tomography (gEIT) suit with dual-step fuzzy clustering |
title_short | Gastric functional monitoring by gastric electrical impedance tomography (gEIT) suit with dual-step fuzzy clustering |
title_sort | gastric functional monitoring by gastric electrical impedance tomography (geit) suit with dual-step fuzzy clustering |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9832012/ https://www.ncbi.nlm.nih.gov/pubmed/36627333 http://dx.doi.org/10.1038/s41598-022-27060-7 |
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