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Localization for robotic capsule looped by axially magnetized permanent-magnet ring based on hybrid strategy

To actively maneuver a robotic capsule for interactive diagnosis in the gastrointestinal tract, visualizing accurate position and orientation of the capsule when it moves in the gastrointestinal tract is essential. A possible method that encloses the circuits, batteries, imaging device, etc into the...

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Detalles Bibliográficos
Autores principales: Yang, Wanan, Li, Yan, Qin, Fengqing
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Dove Medical Press 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4337623/
https://www.ncbi.nlm.nih.gov/pubmed/25733935
http://dx.doi.org/10.2147/MDER.S73639
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author Yang, Wanan
Li, Yan
Qin, Fengqing
author_facet Yang, Wanan
Li, Yan
Qin, Fengqing
author_sort Yang, Wanan
collection PubMed
description To actively maneuver a robotic capsule for interactive diagnosis in the gastrointestinal tract, visualizing accurate position and orientation of the capsule when it moves in the gastrointestinal tract is essential. A possible method that encloses the circuits, batteries, imaging device, etc into the capsule looped by an axially magnetized permanent-magnet ring is proposed. Based on expression of the axially magnetized permanent-magnet ring’s magnetic fields, a localization and orientation model was established. An improved hybrid strategy that combines the advantages of particle-swarm optimization, clone algorithm, and the Levenberg–Marquardt algorithm was found to solve the model. Experiments showed that the hybrid strategy has good accuracy, convergence, and real time performance.
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spelling pubmed-43376232015-03-02 Localization for robotic capsule looped by axially magnetized permanent-magnet ring based on hybrid strategy Yang, Wanan Li, Yan Qin, Fengqing Med Devices (Auckl) Original Research To actively maneuver a robotic capsule for interactive diagnosis in the gastrointestinal tract, visualizing accurate position and orientation of the capsule when it moves in the gastrointestinal tract is essential. A possible method that encloses the circuits, batteries, imaging device, etc into the capsule looped by an axially magnetized permanent-magnet ring is proposed. Based on expression of the axially magnetized permanent-magnet ring’s magnetic fields, a localization and orientation model was established. An improved hybrid strategy that combines the advantages of particle-swarm optimization, clone algorithm, and the Levenberg–Marquardt algorithm was found to solve the model. Experiments showed that the hybrid strategy has good accuracy, convergence, and real time performance. Dove Medical Press 2015-02-16 /pmc/articles/PMC4337623/ /pubmed/25733935 http://dx.doi.org/10.2147/MDER.S73639 Text en © 2015 Yang et al. This work is published by Dove Medical Press Limited, and licensed under Creative Commons Attribution – Non Commercial (unported, v3.0) License The full terms of the License are available at http://creativecommons.org/licenses/by-nc/3.0/. Non-commercial uses of the work are permitted without any further permission from Dove Medical Press Limited, provided the work is properly attributed.
spellingShingle Original Research
Yang, Wanan
Li, Yan
Qin, Fengqing
Localization for robotic capsule looped by axially magnetized permanent-magnet ring based on hybrid strategy
title Localization for robotic capsule looped by axially magnetized permanent-magnet ring based on hybrid strategy
title_full Localization for robotic capsule looped by axially magnetized permanent-magnet ring based on hybrid strategy
title_fullStr Localization for robotic capsule looped by axially magnetized permanent-magnet ring based on hybrid strategy
title_full_unstemmed Localization for robotic capsule looped by axially magnetized permanent-magnet ring based on hybrid strategy
title_short Localization for robotic capsule looped by axially magnetized permanent-magnet ring based on hybrid strategy
title_sort localization for robotic capsule looped by axially magnetized permanent-magnet ring based on hybrid strategy
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4337623/
https://www.ncbi.nlm.nih.gov/pubmed/25733935
http://dx.doi.org/10.2147/MDER.S73639
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