Bayesian-based localization of wireless capsule endoscope using received signal strength

Esmaeil S. Nadimi; Victoria  Blanes-Vidal; Vahid Tarokh; Per Michael Johansen

doi:10.1109/EMBC.2014.6944993

Bayesian-based localization of wireless capsule endoscope using received signal strength

Esmaeil S. Nadimi, Victoria Blanes-Vidal, Vahid Tarokh, Per Michael Johansen

Harvard University

Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

Abstract

In wireless body area sensor networking (WBASN) applications such as gastrointestinal (GI) tract monitoring using wireless video capsule endoscopy (WCE), the performance of out-of-body wireless link propagating through different body media (i.e. blood, fat, muscle and bone) is still under investigation. Most of the localization algorithms are vulnerable to the variations of path-loss coefficient resulting in unreliable location estimation. In this paper, we propose a novel robust probabilistic Bayesian-based approach using received-signal-strength (RSS) measurements that accounts for Rayleigh fading, variable path-loss exponent and uncertainty in location information received from the neighboring nodes and anchors. The results of this study showed that the localization root mean square error of our Bayesian-based method was 1.6 mm which was very close to the optimum Cramer-Rao lower bound (CRLB) and significantly smaller than that of other existing localization approaches (i.e. classical MDS (64.2mm), dwMDS (32.2mm), MLE (36.3mm) and POCS (2.3mm)).

Original language	English
Title of host publication	Proceedings of the 36th Annual IEEE International Conference of the Engineering in Medicine and Biology Society
Publisher	IEEE Press
Publication date	1. Oct 2014
Pages	5988-5991
ISBN (Electronic)	9781424479290
DOIs	https://doi.org/10.1109/EMBC.2014.6944993
Publication status	Published - 1. Oct 2014
Event	36th Annual International Conference of the Engineering in Medicine and Biology Society - Chicago, IL, United States Duration: 26. Aug 2014 → 30. Aug 2014 Conference number: 36

Conference

Conference	36th Annual International Conference of the Engineering in Medicine and Biology Society
Number	36
Country/Territory	United States
City	Chicago, IL
Period	26/08/2014 → 30/08/2014

Series	Proceedings of the International Conference of the IEEE Engineering in Medicine and Biology Society
ISSN	2375-7477

Keywords

Algorithms
Bayes Theorem
Capsule Endoscopy/instrumentation
Humans
Wireless Technology

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10.1109/EMBC.2014.6944993

Cite this

S. Nadimi, Esmaeil ; Blanes-Vidal, Victoria ; Tarokh, Vahid et al. / Bayesian-based localization of wireless capsule endoscope using received signal strength. Proceedings of the 36th Annual IEEE International Conference of the Engineering in Medicine and Biology Society. IEEE Press, 2014. pp. 5988-5991 (Proceedings of the International Conference of the IEEE Engineering in Medicine and Biology Society).

@inproceedings{a25e24840c3a40548f13d47ff99ab741,

title = "Bayesian-based localization of wireless capsule endoscope using received signal strength",

abstract = "In wireless body area sensor networking (WBASN) applications such as gastrointestinal (GI) tract monitoring using wireless video capsule endoscopy (WCE), the performance of out-of-body wireless link propagating through different body media (i.e. blood, fat, muscle and bone) is still under investigation. Most of the localization algorithms are vulnerable to the variations of path-loss coefficient resulting in unreliable location estimation. In this paper, we propose a novel robust probabilistic Bayesian-based approach using received-signal-strength (RSS) measurements that accounts for Rayleigh fading, variable path-loss exponent and uncertainty in location information received from the neighboring nodes and anchors. The results of this study showed that the localization root mean square error of our Bayesian-based method was 1.6 mm which was very close to the optimum Cramer-Rao lower bound (CRLB) and significantly smaller than that of other existing localization approaches (i.e. classical MDS (64.2mm), dwMDS (32.2mm), MLE (36.3mm) and POCS (2.3mm)).",

keywords = "Algorithms, Bayes Theorem, Capsule Endoscopy/instrumentation, Humans, Wireless Technology",

author = "{S. Nadimi}, Esmaeil and Victoria Blanes-Vidal and Vahid Tarokh and Johansen, {Per Michael}",

year = "2014",

month = oct,

day = "1",

doi = "10.1109/EMBC.2014.6944993",

language = "English",

series = "Proceedings of the International Conference of the IEEE Engineering in Medicine and Biology Society",

publisher = "IEEE Press",

pages = "5988--5991",

booktitle = "Proceedings of the 36th Annual IEEE International Conference of the Engineering in Medicine and Biology Society",

note = "36th Annual International Conference of the Engineering in Medicine and Biology Society, EMBC ; Conference date: 26-08-2014 Through 30-08-2014",

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S. Nadimi, E , Blanes-Vidal, V, Tarokh, V & Johansen, PM 2014, Bayesian-based localization of wireless capsule endoscope using received signal strength. in Proceedings of the 36th Annual IEEE International Conference of the Engineering in Medicine and Biology Society. IEEE Press, Proceedings of the International Conference of the IEEE Engineering in Medicine and Biology Society, pp. 5988-5991, 36th Annual International Conference of the Engineering in Medicine and Biology Society, Chicago, IL, United States, 26/08/2014. https://doi.org/10.1109/EMBC.2014.6944993

Bayesian-based localization of wireless capsule endoscope using received signal strength. / S. Nadimi, Esmaeil ; Blanes-Vidal, Victoria ; Tarokh, Vahid et al.
Proceedings of the 36th Annual IEEE International Conference of the Engineering in Medicine and Biology Society. IEEE Press, 2014. p. 5988-5991 (Proceedings of the International Conference of the IEEE Engineering in Medicine and Biology Society).

Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

TY - GEN

T1 - Bayesian-based localization of wireless capsule endoscope using received signal strength

AU - S. Nadimi, Esmaeil

AU - Blanes-Vidal, Victoria

AU - Tarokh, Vahid

AU - Johansen, Per Michael

N1 - Conference code: 36

PY - 2014/10/1

Y1 - 2014/10/1

N2 - In wireless body area sensor networking (WBASN) applications such as gastrointestinal (GI) tract monitoring using wireless video capsule endoscopy (WCE), the performance of out-of-body wireless link propagating through different body media (i.e. blood, fat, muscle and bone) is still under investigation. Most of the localization algorithms are vulnerable to the variations of path-loss coefficient resulting in unreliable location estimation. In this paper, we propose a novel robust probabilistic Bayesian-based approach using received-signal-strength (RSS) measurements that accounts for Rayleigh fading, variable path-loss exponent and uncertainty in location information received from the neighboring nodes and anchors. The results of this study showed that the localization root mean square error of our Bayesian-based method was 1.6 mm which was very close to the optimum Cramer-Rao lower bound (CRLB) and significantly smaller than that of other existing localization approaches (i.e. classical MDS (64.2mm), dwMDS (32.2mm), MLE (36.3mm) and POCS (2.3mm)).

AB - In wireless body area sensor networking (WBASN) applications such as gastrointestinal (GI) tract monitoring using wireless video capsule endoscopy (WCE), the performance of out-of-body wireless link propagating through different body media (i.e. blood, fat, muscle and bone) is still under investigation. Most of the localization algorithms are vulnerable to the variations of path-loss coefficient resulting in unreliable location estimation. In this paper, we propose a novel robust probabilistic Bayesian-based approach using received-signal-strength (RSS) measurements that accounts for Rayleigh fading, variable path-loss exponent and uncertainty in location information received from the neighboring nodes and anchors. The results of this study showed that the localization root mean square error of our Bayesian-based method was 1.6 mm which was very close to the optimum Cramer-Rao lower bound (CRLB) and significantly smaller than that of other existing localization approaches (i.e. classical MDS (64.2mm), dwMDS (32.2mm), MLE (36.3mm) and POCS (2.3mm)).

KW - Algorithms

KW - Bayes Theorem

KW - Capsule Endoscopy/instrumentation

KW - Humans

KW - Wireless Technology

U2 - 10.1109/EMBC.2014.6944993

DO - 10.1109/EMBC.2014.6944993

M3 - Article in proceedings

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T3 - Proceedings of the International Conference of the IEEE Engineering in Medicine and Biology Society

SP - 5988

EP - 5991

BT - Proceedings of the 36th Annual IEEE International Conference of the Engineering in Medicine and Biology Society

PB - IEEE Press

T2 - 36th Annual International Conference of the Engineering in Medicine and Biology Society

Y2 - 26 August 2014 through 30 August 2014

ER -

S. Nadimi E , Blanes-Vidal V, Tarokh V, Johansen PM. Bayesian-based localization of wireless capsule endoscope using received signal strength. In Proceedings of the 36th Annual IEEE International Conference of the Engineering in Medicine and Biology Society. IEEE Press. 2014. p. 5988-5991. (Proceedings of the International Conference of the IEEE Engineering in Medicine and Biology Society). doi: 10.1109/EMBC.2014.6944993

Bayesian-based localization of wireless capsule endoscope using received signal strength

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