Tracking system for magnetic foreign bodies localization using a portable device

This paper presents a tracking system to find the position and yaw rotation of a handheld device based on the imaging of an adhesive marker attached to a person's body. Our goal is to provide accurate data that can be combined with data from a giant magnetoresistance sensor to be able to locate...

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Main Authors: Marcos Rogozinski, Carlos Roberto Hall Barbosa, Elisabeth Costa Monteiro
Format: Article
Language:English
Published: Elsevier 2021-12-01
Series:Measurement: Sensors
Subjects:
GMR
Online Access:http://www.sciencedirect.com/science/article/pii/S2665917421002385
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spelling doaj-55f580ecd2f04d72a9497c93ad8578382021-09-25T05:11:27ZengElsevierMeasurement: Sensors2665-91742021-12-0118100275Tracking system for magnetic foreign bodies localization using a portable deviceMarcos Rogozinski0Carlos Roberto Hall Barbosa1Elisabeth Costa Monteiro2Pontifical Catholic University of Rio de Janeiro, Rio de Janeiro, BrazilCorresponding author.; Pontifical Catholic University of Rio de Janeiro, Rio de Janeiro, BrazilPontifical Catholic University of Rio de Janeiro, Rio de Janeiro, BrazilThis paper presents a tracking system to find the position and yaw rotation of a handheld device based on the imaging of an adhesive marker attached to a person's body. Our goal is to provide accurate data that can be combined with data from a giant magnetoresistance sensor to be able to locate a foreign body inside a human body for surgical removal. We tested the system with a series of computer simulations and analyzed the results obtained. Our best setup provided a Root Mean Square Error of less than 1.6 mm for the x coordinate, less than 1 mm for the y coordinate, less than 1.2 cm for the z coordinate and less than 1.1° for the yaw rotation value in a test with wide variations of all values. The results obtained are promising and open the way for the combination of data with the portable magnetic sensor.http://www.sciencedirect.com/science/article/pii/S2665917421002385BiomagnetismCamera poseMagnetic foreign bodyGMRData fusionConvolutional neural networks
collection DOAJ
language English
format Article
sources DOAJ
author Marcos Rogozinski
Carlos Roberto Hall Barbosa
Elisabeth Costa Monteiro
spellingShingle Marcos Rogozinski
Carlos Roberto Hall Barbosa
Elisabeth Costa Monteiro
Tracking system for magnetic foreign bodies localization using a portable device
Measurement: Sensors
Biomagnetism
Camera pose
Magnetic foreign body
GMR
Data fusion
Convolutional neural networks
author_facet Marcos Rogozinski
Carlos Roberto Hall Barbosa
Elisabeth Costa Monteiro
author_sort Marcos Rogozinski
title Tracking system for magnetic foreign bodies localization using a portable device
title_short Tracking system for magnetic foreign bodies localization using a portable device
title_full Tracking system for magnetic foreign bodies localization using a portable device
title_fullStr Tracking system for magnetic foreign bodies localization using a portable device
title_full_unstemmed Tracking system for magnetic foreign bodies localization using a portable device
title_sort tracking system for magnetic foreign bodies localization using a portable device
publisher Elsevier
series Measurement: Sensors
issn 2665-9174
publishDate 2021-12-01
description This paper presents a tracking system to find the position and yaw rotation of a handheld device based on the imaging of an adhesive marker attached to a person's body. Our goal is to provide accurate data that can be combined with data from a giant magnetoresistance sensor to be able to locate a foreign body inside a human body for surgical removal. We tested the system with a series of computer simulations and analyzed the results obtained. Our best setup provided a Root Mean Square Error of less than 1.6 mm for the x coordinate, less than 1 mm for the y coordinate, less than 1.2 cm for the z coordinate and less than 1.1° for the yaw rotation value in a test with wide variations of all values. The results obtained are promising and open the way for the combination of data with the portable magnetic sensor.
topic Biomagnetism
Camera pose
Magnetic foreign body
GMR
Data fusion
Convolutional neural networks
url http://www.sciencedirect.com/science/article/pii/S2665917421002385
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AT carlosrobertohallbarbosa trackingsystemformagneticforeignbodieslocalizationusingaportabledevice
AT elisabethcostamonteiro trackingsystemformagneticforeignbodieslocalizationusingaportabledevice
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