Techniques for RF localization of wireless capsule endoscopy

Sanagavarapu Mohan, A; Boddupalli, A; Hossain, MD; Gozasht, F; Ling, SSH

Techniques for RF localization of wireless capsule endoscopy

Sanagavarapu Mohan, A

Boddupalli, A Hossain, MD

Gozasht, F

Ling, SSH

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Publication Type:: Conference Proceeding
Citation:: Proceedings of the 2016 18th International Conference on Electromagnetics in Advanced Applications, ICEAA 2016, 2016, pp. 856 - 859
Issue Date:: 2016-11-02

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Field	Value	Language
dc.contributor.author	Sanagavarapu Mohan, A https://orcid.org/0000-0002-4503-5851	en_US
dc.contributor.author	Boddupalli, A	en_US
dc.contributor.author	Hossain, MD https://orcid.org/0000-0002-8162-686X	en_US
dc.contributor.author	Gozasht, F https://orcid.org/0000-0003-4718-2940	en_US
dc.contributor.author	Ling, SSH https://orcid.org/0000-0003-0849-5098	en_US
dc.date.issued	2016-11-02	en_US
dc.identifier.citation	Proceedings of the 2016 18th International Conference on Electromagnetics in Advanced Applications, ICEAA 2016, 2016, pp. 856 - 859	en_US
dc.identifier.isbn	9781467398114	en_US
dc.identifier.uri	http://hdl.handle.net/10453/73654
dc.description.abstract	© 2016 IEEE. Location estimation of a wireless capsule endoscope at 400 MHz MICS band is implemented here using both RSSI and TOA-based techniques and their performance investigated. To improve the RSSI-based location estimation, a maximum likelihood (ML) estimation method is employed. For the TOA-based localization, FDTD coupled with continuous wavelet transform (CWT) is used to estimate the time of arrival and localization is performed using multilateration. The performances of the proposed localization algorithms are evaluated using a computational heterogeneous biological tissue phantom in the 402MHz-405MHz MICS band. Our investigations reveal that the accuracy obtained by TOA based method is superior to RSSI based estimates. It has been observed that the ML method substantially improves the accuracy of the RSSI-based location estimation.	en_US
dc.relation.ispartof	Proceedings of the 2016 18th International Conference on Electromagnetics in Advanced Applications, ICEAA 2016	en_US
dc.relation.isbasedon	10.1109/ICEAA.2016.7731535	en_US
dc.title	Techniques for RF localization of wireless capsule endoscopy	en_US
dc.type	Conference Proceeding
utslib.for	090302 Biomechanical Engineering	en_US
utslib.for	080108 Neural, Evolutionary and Fuzzy Computation	en_US
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/DVC (Teaching and Learning)
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 Biomedical Engineering
pubs.organisational-group	/University of Technology Sydney/Strength - CHT - Health Technologies
pubs.organisational-group	/University of Technology Sydney/Students
utslib.copyright.status	open_access
pubs.publication-status	Published	en_US

Abstract:

© 2016 IEEE. Location estimation of a wireless capsule endoscope at 400 MHz MICS band is implemented here using both RSSI and TOA-based techniques and their performance investigated. To improve the RSSI-based location estimation, a maximum likelihood (ML) estimation method is employed. For the TOA-based localization, FDTD coupled with continuous wavelet transform (CWT) is used to estimate the time of arrival and localization is performed using multilateration. The performances of the proposed localization algorithms are evaluated using a computational heterogeneous biological tissue phantom in the 402MHz-405MHz MICS band. Our investigations reveal that the accuracy obtained by TOA based method is superior to RSSI based estimates. It has been observed that the ML method substantially improves the accuracy of the RSSI-based location estimation.

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http://hdl.handle.net/10453/73654