Localization of an Ultra Wide Band Wireless Endoscopy Capsule Inside the Human Body Using Received Signal Strength and Centroid Algorithm

Wireless capsuleendoscopy (WCE) is used for imaging and diagnosing diseases in thegastrointestinal (GI) system. The location of the disease detected by WCE isstill an important problem. Location information is very important for thesurgical or drug treatment of the detected disease. In this study, RSS-basedcentroid algorithm has been used in order to accurately predict the capsuleposition on a sample data set. The effect of different parameters such asnumber of sensors used on the proposed mathematical model, location of sensorson positioning is analyzed in detail. The results show that a precise positiondetection is possible with fewer sensors positioned correctly. As a result, thepositioning error with the correctly selected sensors is reduced byapproximately 55%. In addition, the performance of the proposedmethod was compared with the classical centroid algorithm and more than 50%improvement was achieved.