Title
A Novel Method For Medical Implant In-Body Localization
Abstract
Wireless communication medical implants are gaining an important role in healthcare systems by controlling and transmitting the vital information of the patients. Recently, Wireless Capsule Endoscopy (WCE) has become a popular method to visualize and diagnose the human gastrointestinal (GI) tract. Estimating the exact location of the capsule when each image is taken is a very critical issue in capsule endoscopy. Most of the common capsule localization methods are based on estimating one or more location-dependent signal parameters like TOA or RSS. However, some unique challenges exist for in-body localization due to the complex nature within the human body. In this paper, we propose a novel one-stage localization method based on spatial sparsity in 3D space. In this method, we directly estimate the location of the capsule (as the emitter) without going through the intermediate stage of TOA or signal strength estimation. We evaluate the performance of the proposed method using Monte Carlo simulation with an RF signal following the allowable power and bandwidth ranges according to the standards. The results show that the proposed method is very effective and accurate even in massive multipath and shadowing conditions.
Year
DOI
Venue
2012
10.1109/EMBC.2012.6347302
2012 ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY (EMBC)
Keywords
Field
DocType
monte carlo methods,health care
Multipath propagation,Computer vision,Monte Carlo method,Wireless,Computer science,Radio frequency,Electronic engineering,Bandwidth (signal processing),Signal strength,Artificial intelligence,Capsule endoscopy,RSS
Conference
Volume
ISSN
Citations 
2012
1557-170X
12
PageRank 
References 
Authors
0.84
8
3
Name
Order
Citations
PageRank
Mohammad Pourhomayoun18715.23
Mark Fowler2120.84
Zhanpeng Jin3131.53