DocumentCode :
36742
Title :
Accurate Localization of In-Body Medical Implants Based on Spatial Sparsity
Author :
Pourhomayoun, Mohammad ; Zhanpeng Jin ; Fowler, Mark
Author_Institution :
Dept. of Electr. & Comput. Eng., Binghamton Univ., Binghamton, NY, USA
Volume :
61
Issue :
2
fYear :
2014
fDate :
Feb. 2014
Firstpage :
590
Lastpage :
597
Abstract :
Wearable and implantable wireless communication devices have in recent years gained increasing attention for medical diagnostics and therapeutics. In particular, wireless capsule endoscopy has become a popular method to visualize and diagnose the human gastrointestinal tract. Estimating the exact position of the capsule when each image is taken is a very critical issue in capsule endoscopy. Several approaches have been developed by researchers to estimate the capsule location. However, some unique challenges exist for in-body localization, such as the severe multipath issue caused by the boundaries of different organs, inconsistency of signal propagation velocity and path loss parameters inside the human body, and the regulatory restrictions on using high-bandwidth or high-power signals. In this paper, we propose a novel localization method based on spatial sparsity. We directly estimate the location of the capsule without going through the usual intermediate stage of first estimating time-of-arrival or received-signal strength, and then a second stage of estimating the location. We demonstrate the accuracy of the proposed method through extensive Monte Carlo simulations for radio frequency emission signals within the required power and bandwidth range. The results show that the proposed method is effective and accurate, even in massive multipath conditions.
Keywords :
Monte Carlo methods; biological organs; endoscopes; medical signal processing; prosthetics; capsule location; exact position estimation; extensive Monte Carlo simulations; high-bandwidth signals; high-power signals; human gastrointestinal tract diagnosis; human gastrointestinal tract visualization; implantable wireless communication devices; in-body localization; in-body medical implants; intermediate stage; massive multipath; medical diagnostics; organs; path loss parameters; radio frequency emission signals; received-signal strength; regulatory restrictions; severe multipath issue; signal propagation velocity; spatial sparsity; therapeutics; time-of-arrival estimation; wearable wireless communication devices; wireless capsule endoscopy; Delays; Estimation; Implants; Mathematical model; Permittivity; Sensors; Vectors; Capsule endoscopy; medical implant; received-signal strength (RSS); sparsity; time of arrival (TOA);
fLanguage :
English
Journal_Title :
Biomedical Engineering, IEEE Transactions on
Publisher :
ieee
ISSN :
0018-9294
Type :
jour
DOI :
10.1109/TBME.2013.2284271
Filename :
6617705
Link To Document :
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