Title :
A novel radio propagation radiation model for location of the capsule in GI tract
Author :
Wang, Lujia ; Hu, Chao ; Tian, Longqiang ; Li, Mao ; Meng, Max Q.-H.
Author_Institution :
Key Lab. for Biomed. Inf.&Health Eng, Chinese Acad. of Sci., Shenzhen, China
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.
Keywords :
antenna radiation patterns; biological organs; biomedical engineering; dipole antennas; finite difference time-domain analysis; physiological models; prosthetics; radiowave propagation; GI tract; antenna orientation radiation pattern; azimuth radiation attenuation; compensated model; dipole antenna; finite-difference time-domain analysis; human body model; human gastro-intestine tract; implantable sources; localization algorithm; numerical electromagnetic analysis; overlooked antenna orientation; radio propagation radiation model; received signal strength indicator; signal propagation empirical model; signal strength sensitivity; Antennas and propagation; Azimuth; Biological system modeling; Electromagnetic modeling; Electromagnetic propagation; Finite difference methods; Gastrointestinal tract; Humans; Radio propagation; Time domain analysis;
Conference_Titel :
Robotics and Biomimetics (ROBIO), 2009 IEEE International Conference on
Conference_Location :
Guilin
Print_ISBN :
978-1-4244-4774-9
Electronic_ISBN :
978-1-4244-4775-6
DOI :
10.1109/ROBIO.2009.5420456