Wireless Capsule Endoscopy using Localization Techniques over IMU Sensor and Side-wall Cameras

Abstract

Predicting the performance of wireless capsule endoscopy in the human ileum has been a challenging topic for over a decade. Considering its compact, coiled, and elongated shape, this makes sense. This paper suggests a sensor-lens hybrid as a solution to these issues through multisensory-aided WCE localization. The success of the connection is quantified here by the RSSI. It is recommended to use the Siamese Caps Net for camera-based localization. The end result is that accurate WCE estimates are possible thanks to this method. One novel approach involves verifying the Receiver's new location based on the Round Trip Time, Communication Delay, Received Signal Strength Indication, Distance, and Last Known Coordinates. Matlab R2019b is then used to calculate the results. The results demonstrate that the suggested method outperforms the state-of-the-art methods in terms of Localization Accuracy, Standardized Root Mean Square Error, and Average Translation Error.