Research Article

Accuracy of UWB Path Loss-Based Localization of Wireless Capsule Endoscopy

Table 4

Comparison of the proposed SPLD-WCL algorithm to other works in the literature.

Localization methodBandRMSE (mm)No. of sensorsDimensionIn vitroor in vivo measurements

Hybrid methods
Hybrid localization using vision and RF [5]MICS23163Partially - image dataset from pillcam
Fusion based hybrid localization using vision and IMU sensors [6]MICS9.5NO3Yes - in vitro validation

TOA and RSSI based
TOA, path loss, and spatial sparsity-based convex optimization and -norm minimization [9]MICS8.0162No - implant to the body surface model using electromagnetic field simulation

RSSI based
RSSI based triangulation [24]MICS34643No - implant to the body surface model using electromagnetic field simulation
Nonparametric path loss-based WCL [12]MICS24.53643No - implant to the body surface model using electromagnetic field simulation
RSSI-based ML localization using the particle filter [11]MICS7.083No - FDTD simulation in the small intestine
RSSI-based compressive sensing and VNL Kalman filter [18]UWB35242No - field simulation based
GWA filter and MIMO-based path loss estimation and position-bounded calibrated WCL [19]UWB8.24563No - FIT simulation of human torso with electrical field probes inside the chest
7.49
ML estimated path loss-bounded WCL [20]UWB8.14563No - FIT simulation of human torso with electrical field probes inside the chest
Proposed SPLD-WCLUWB8.783Yes - in-body to on-body in vivo measurements
6.8348