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Wireless Capsule Endoscope Localization with Phase Detection Algorithm and Adaptive Body Model
Wireless capsule endoscopes take and send photos of the human digestive tract, which are used for medical diagnosis. The capsule’s location enables exact identification of the regions with lesions. This can be carried out by analyzing the parameters of the electromagnetic wave received from the caps...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8950630/ https://www.ncbi.nlm.nih.gov/pubmed/35336370 http://dx.doi.org/10.3390/s22062200 |
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author | Oleksy, Paweł Januszkiewicz, Łukasz |
author_facet | Oleksy, Paweł Januszkiewicz, Łukasz |
author_sort | Oleksy, Paweł |
collection | PubMed |
description | Wireless capsule endoscopes take and send photos of the human digestive tract, which are used for medical diagnosis. The capsule’s location enables exact identification of the regions with lesions. This can be carried out by analyzing the parameters of the electromagnetic wave received from the capsule. Because the human body is a complex heterogeneous environment that impacts the propagation of wireless signals, determining the distance between the transmitter and the receiver based on the received power level is challenging. An enhanced approach of identifying the location of endoscope capsules using a wireless signal phase detection algorithm is presented in this paper. For each capsule position, this technique uses adaptive estimation of human body model permittivity. This approach was tested using computer simulations in Remcom XFdtd software using a numerical, heterogeneous human body model, as well as measurements with physical phantom. The type of transmitting antenna employed in the capsule also has a significant impact on the suggested localization method’s accuracy. As a result, the helical antenna, which is smaller than the dipole, was chosen as the signal’s source. For both the numerical and physical phantom studies, the proposed technique with adaptive body model enhances localization accuracy by roughly 30%. |
format | Online Article Text |
id | pubmed-8950630 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-89506302022-03-26 Wireless Capsule Endoscope Localization with Phase Detection Algorithm and Adaptive Body Model Oleksy, Paweł Januszkiewicz, Łukasz Sensors (Basel) Article Wireless capsule endoscopes take and send photos of the human digestive tract, which are used for medical diagnosis. The capsule’s location enables exact identification of the regions with lesions. This can be carried out by analyzing the parameters of the electromagnetic wave received from the capsule. Because the human body is a complex heterogeneous environment that impacts the propagation of wireless signals, determining the distance between the transmitter and the receiver based on the received power level is challenging. An enhanced approach of identifying the location of endoscope capsules using a wireless signal phase detection algorithm is presented in this paper. For each capsule position, this technique uses adaptive estimation of human body model permittivity. This approach was tested using computer simulations in Remcom XFdtd software using a numerical, heterogeneous human body model, as well as measurements with physical phantom. The type of transmitting antenna employed in the capsule also has a significant impact on the suggested localization method’s accuracy. As a result, the helical antenna, which is smaller than the dipole, was chosen as the signal’s source. For both the numerical and physical phantom studies, the proposed technique with adaptive body model enhances localization accuracy by roughly 30%. MDPI 2022-03-11 /pmc/articles/PMC8950630/ /pubmed/35336370 http://dx.doi.org/10.3390/s22062200 Text en © 2022 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 | Article Oleksy, Paweł Januszkiewicz, Łukasz Wireless Capsule Endoscope Localization with Phase Detection Algorithm and Adaptive Body Model |
title | Wireless Capsule Endoscope Localization with Phase Detection Algorithm and Adaptive Body Model |
title_full | Wireless Capsule Endoscope Localization with Phase Detection Algorithm and Adaptive Body Model |
title_fullStr | Wireless Capsule Endoscope Localization with Phase Detection Algorithm and Adaptive Body Model |
title_full_unstemmed | Wireless Capsule Endoscope Localization with Phase Detection Algorithm and Adaptive Body Model |
title_short | Wireless Capsule Endoscope Localization with Phase Detection Algorithm and Adaptive Body Model |
title_sort | wireless capsule endoscope localization with phase detection algorithm and adaptive body model |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8950630/ https://www.ncbi.nlm.nih.gov/pubmed/35336370 http://dx.doi.org/10.3390/s22062200 |
work_keys_str_mv | AT oleksypaweł wirelesscapsuleendoscopelocalizationwithphasedetectionalgorithmandadaptivebodymodel AT januszkiewiczłukasz wirelesscapsuleendoscopelocalizationwithphasedetectionalgorithmandadaptivebodymodel |