On the accuracy of RF positioning in multi-Capsule endoscopy

Ye, Yunxing; Khan, Umair; Alsindi, Nayef; Fu, Ruigang; Pahlavan, Kaveh

doi:10.1109/pimrc.2011.6139900

Cited by 29 publications

(14 citation statements)

References 14 publications

(16 reference statements)

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“…The researchers in [24,25] take into account the effect of variant organs and sensor array’s geometry on the location error in positioning systems based on the signal strength.…”

Section: Radio-frequency Electromagnetic Signal-based Localizationmentioning

confidence: 99%

Localization and Tracking of Implantable Biomedical Sensors

Umay

Fi̇dan

Barshan

2017

Sensors

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Implantable sensor systems are effective tools for biomedical diagnosis, visualization and treatment of various health conditions, attracting the interest of researchers, as well as healthcare practitioners. These systems efficiently and conveniently provide essential data of the body part being diagnosed, such as gastrointestinal (temperature, pH, pressure) parameter values, blood glucose and pressure levels and electrocardiogram data. Such data are first transmitted from the implantable sensor units to an external receiver node or network and then to a central monitoring and control (computer) unit for analysis, diagnosis and/or treatment. Implantable sensor units are typically in the form of mobile microrobotic capsules or implanted stationary (body-fixed) units. In particular, capsule-based systems have attracted significant research interest recently, with a variety of applications, including endoscopy, microsurgery, drug delivery and biopsy. In such implantable sensor systems, one of the most challenging problems is the accurate localization and tracking of the microrobotic sensor unit (e.g., robotic capsule) inside the human body. This article presents a literature review of the existing localization and tracking techniques for robotic implantable sensor systems with their merits and limitations and possible solutions of the proposed localization methods. The article also provides a brief discussion on the connection and cooperation of such techniques with wearable biomedical sensor systems.

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“…The researchers in [24,25] take into account the effect of variant organs and sensor array’s geometry on the location error in positioning systems based on the signal strength.…”

Section: Radio-frequency Electromagnetic Signal-based Localizationmentioning

confidence: 99%

Localization and Tracking of Implantable Biomedical Sensors

Umay

Fi̇dan

Barshan

2017

Sensors

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“…It is known that Cramer-Rao Lower Bound properly indicate the best possible performance of systems based on instantaneous measurement and RF based localization in general scenario has been studied as a typical case for CRLB calculation [9]. The CRLB for RF based WCE localization has been also investigated in [10] to provide an expectation on localization accuracy. However, when dynamic models are involved in a hybrid system, lower bound calculation becomes difficult.…”

Section: Introductionmentioning

confidence: 99%

On the accuracy of RF and image processing based hybrid localization for wireless capsule endoscopy

Geng

Pahlavan

2015

2015 IEEE Wireless Communications and Networking Conference (WCNC)

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RF based and image processing based hybrid localization for wireless capsule endoscopy (WCE) has been adopted as one of the leading in-body localization approach for its overwhelming advantage on the accuracy of location estimation. In this paper, in order to investigate the fundamental limits, we derived the 3-dimensional (3D) Posterior Cramer-Rao Lower Bound (PCRLB) for hybrid WCE localization with the knowledge of RF based range estimation and image processing based step length and heading measurements. In addition to the PCRLB derivation, numerical results of this work shows that when the accuracy of image processing based measurement is high enough or the number of on-body RF receiver is large enough, the rootmean-square error (RMSE) of hybrid WCE localization can be limited within 3cm.

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“…Capsule Endoscopy has advantages for both patient and physician since it is noninvasive, more precise and even portable [1] [2]. Contrary to traditional methods such as Gastroscopy and Colonoscopy that can only reach the first or last several feet of the GI tract, the capsule endoscopy allows the visualization of the entire gastrointestinal tract [3].…”

Section: Introductionmentioning

confidence: 99%

“…Among all different methods that have been suggested for capsule localization, RF signal based methods have the advantage of application-non-specific property and relatively low-cost hardware implementation [1] [3].…”

Section: Introductionmentioning

confidence: 99%