A novel radio propagation radiation model for location of the capsule in GI tract

  • Authors:
  • Lujia Wang;Chao Hu;Longqiang Tian;Mao Li;Q.-H Max.

  • Affiliations:
  • CAS, CUHK, Shenzhen Institute of Advanced Integration, Key Lab for Biomedical Information & Health Eng., Shenzhen Key Lab for Low-Cost Health, Shenzhen Institute of Advanced Technology, Chines ...;CAS, CUHK, Shenzhen Institute of Advanced Integration, Key Lab for Biomedical Information & Health Eng., Shenzhen Key Lab for Low-Cost Health, Shenzhen Institute of Advanced Technology, Chines ...;CAS, CUHK, Shenzhen Institute of Advanced Integration, Key Lab for Biomedical Information & Health Eng., Shenzhen Key Lab for Low-Cost Health, Shenzhen Institute of Advanced Technology, Chines ...;CAS, CUHK, Shenzhen Institute of Advanced Integration, Key Lab for Biomedical Information & Health Eng., Shenzhen Key Lab for Low-Cost Health, Shenzhen Institute of Advanced Technology, Chines ...;Department of Electronic Engineering, The Chinese University of Hong Kong

  • Venue:
  • ROBIO'09 Proceedings of the 2009 international conference on Robotics and biomimetics
  • Year:
  • 2009

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Abstract

In this paper, we discuss the influence of the antenna orientation radiation pattern in localization algorithm based on Received Signal Strength Indicator (RSSI). We also improve the empirical model of signal propagation by building the path loss function of the human gastro-intestine (GI) tract. The novel model includes information of both the distance and azimuth angle variables. The numerical electromagnetic analysis with the finite-difference time-domain (FDTD) is applied to model the vivo radio propagation channels by using a dipole antenna suitable for the model related to the human body. The proposed propagation model is compared with empirical model, and the simulation results show that the compensated model is more accurate by calculating the azimuth radiation attenuation. It demonstrates that the often overlooked antenna orientation has the dominant effect on the signal strength sensitivity.