Localization of an ultra wide band wireless endoscopy capsule inside the human body using received signal strength and centroid algorithm





Centroid algorithm, in-body localization, RSS based model, wireless capsule endoscopy, body model


Wireless capsule endoscopy (WCE) is used for imaging and diagnosing diseases in the gastrointestinal (GI) system. The location of the disease detected by WCE is still an important problem. Location information is very important for the surgical or drug treatment of the detected disease. In this study, RSS-based centroid algorithm has been used in order to accurately predict the capsule position on a sample data set. The effect of different parameters such as number of sensors used on the proposed mathematical model, location of sensors on positioning is analyzed in detail. The results show that a precise position detection is possible with fewer sensors positioned correctly. As a result, the positioning error with the correctly selected sensors is reduced by approximately 55%. In addition, the performance of the proposed method was compared with the classical centroid algorithm and more than 50% improvement was achieved.


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Author Biographies

Memduh Suveren, Department of Mechatronics Engineering, Erciyes University, Kayseri 38039, Turkey

Memduh Suveren received his M.S degree in Mechatronics Engineering from Erciyes University in 2015. He has been working as a research assistant in Mechatronics Engineering department since 2011, Erciyes University. His current research interests include Wireless Capsule Endoscopy, Ultra-Wide Band (UWB) signaling, in body localization, Magnetic Capsule localization and Electromagnetic studies.

Rustu Akay, Department of Mechatronics Engineering, Erciyes University, Kayseri 38039, Turkey

Rüştü Akay received the M.S. and the Ph.D. degree in computer engineering from Erciyes University, Kayseri, Turkey, in 2006 and 2014, respectively. Since 2014 he is an Assistant Professor in the Department of Mechatronics Engineering, Erciyes University. His current research interests include evolutionary algorithm, parallel programming, intelligent control systems and their applications.

Muzaffer Kanaan, Department of Mechatronics Engineering, Erciyes University, Kayseri 38039, Turkey

Muzaffer Kanaan is an associate professor of mechatronics engineering at Erciyes University, Turkey, where he has worked since 2009. He received his MS degree in electrical and computer engineering from New Jersey Institute Of Technology in 1996 and PhD degrees in electrical and computer engineering from Worcester Polytechnic Institute in 2008. Between 1997-2008, he worked as a Distinguished Member of the Technical Staff at Verizon Laboratories in Waltham, MA, where he was responsible for various research and development projects related to wireless and fiber-optic communication. He has 5 U.S. Patents granted, with another two pending.  His major research interests include communication and control engineering, wireless communication, with a particular focus on the application of wireless technology in medicine.


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DOI: 10.11121/ijocta.2022.1146
Published: 2022-07-26

How to Cite

Suveren, M., Akay, R., & Kanaan, M. (2022). Localization of an ultra wide band wireless endoscopy capsule inside the human body using received signal strength and centroid algorithm. An International Journal of Optimization and Control: Theories & Applications (IJOCTA), 12(2), 151–159. https://doi.org/10.11121/ijocta.2022.1146



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