Autonomous Implant Sensor Position Measurement by Using Human Voxel Data

Abstract

A new autonomous implant sensor positioning measurement technique is discussed. The goal of this study is to develop ubiquitous medical systems with autonomous nano-medical sensors and robots. The key for the goal is to establish the autonomous positioning measurement for these implant objects without the burden of patients. To achieve the goal, this study proposes a autonomous positioning measurement with human voxel data. The technique is combining two algorithms; an autonomous distributed measurement of sensors with Sammon's Map which is a nonlinear mapping algorithm and voxel human model clustered with the propagation characteristic of human tissue. The simulation experiment shows the proposed technique enables precise positioning measurement under heterogeneous propagation environment in human body.