Grid sensitivity analysis of human phantom models to minimize the simulation error for capsule endoscope localization

Ara, P; Cheng, S; Heimlich, M; Dutkiewicz, E

Grid sensitivity analysis of human phantom models to minimize the simulation error for capsule endoscope localization

Ara, P Cheng, S Heimlich, M Dutkiewicz, E

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Publication Type:: Conference Proceeding
Citation:: 2015 15th International Symposium on Communications and Information Technologies, ISCIT 2015, 2016, pp. 295 - 298
Issue Date:: 2016-04-22

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Field	Value	Language
dc.contributor.author	Ara, P	en_US
dc.contributor.author	Cheng, S	en_US
dc.contributor.author	Heimlich, M	en_US
dc.contributor.author	Dutkiewicz, E https://orcid.org/0000-0002-4268-9286	en_US
dc.date.issued	2016-04-22	en_US
dc.identifier.citation	2015 15th International Symposium on Communications and Information Technologies, ISCIT 2015, 2016, pp. 295 - 298	en_US
dc.identifier.isbn	9781467368209	en_US
dc.identifier.uri	http://hdl.handle.net/10453/122808
dc.description.abstract	© 2015 IEEE. Sensitivity analysis plays an important role in a variety of statistical methodologies, design procedures and model selection. For development of in-body wireless communications, it is essential to evaluate the designed system performance prior to conducting any practical procedures. Localization of a capsule endoscope inside the gastrointestinal tract is one of the areas that needs to be precisely addressed in wireless body area networks. Since practical experiments on the real human body are quite infeasible, various human phantom models have been developed for this purpose. This study provides a detailed sensitivity analysis for two different anatomical human phantom models. The study shows that the adjustment of best possible grid and the number of cells have a significant impact on the simulation results to obtain a precise path loss and consequently to estimate an accurate location of capsule. This all aid us to improve the system performance.	en_US
dc.relation.ispartof	2015 15th International Symposium on Communications and Information Technologies, ISCIT 2015	en_US
dc.relation.isbasedon	10.1109/ISCIT.2015.7458365	en_US
dc.rights	info:eu-repo/semantics/closedAccess
dc.title	Grid sensitivity analysis of human phantom models to minimize the simulation error for capsule endoscope localization	en_US
dc.type	Conference Proceeding
utslib.for	0806 Information Systems	en_US
utslib.for	0906 Electrical and Electronic Engineering	en_US
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Electrical and Data Engineering
pubs.organisational-group	/University of Technology Sydney/Strength - GBDTC - Global Big Data Technologies
utslib.copyright.status	closed_access	*
pubs.publication-status	Published	en_US

Abstract:

© 2015 IEEE. Sensitivity analysis plays an important role in a variety of statistical methodologies, design procedures and model selection. For development of in-body wireless communications, it is essential to evaluate the designed system performance prior to conducting any practical procedures. Localization of a capsule endoscope inside the gastrointestinal tract is one of the areas that needs to be precisely addressed in wireless body area networks. Since practical experiments on the real human body are quite infeasible, various human phantom models have been developed for this purpose. This study provides a detailed sensitivity analysis for two different anatomical human phantom models. The study shows that the adjustment of best possible grid and the number of cells have a significant impact on the simulation results to obtain a precise path loss and consequently to estimate an accurate location of capsule. This all aid us to improve the system performance.

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http://hdl.handle.net/10453/122808