DocumentCode :
2945214
Title :
Articulated Postures for Subject-Specific RF Simulation
Author :
Lee, Su-Lin ; Lerotic, Mirna ; Sani, Andrea ; Zhao, Yan ; Keegan, Jennifer ; Hao, Yang ; Yang, Guang-Zhong
Author_Institution :
R. Soc./Wolfson Found. Med. Image Comput. Lab., Imperial Coll. London, London, UK
fYear :
2010
fDate :
7-9 June 2010
Firstpage :
96
Lastpage :
101
Abstract :
With the development of miniaturized wireless wearable and implantable medical devices, pervasive monitoring is becoming a clinical reality. With an increasing drive for minimizing power utilization, optimal antenna design and radio wave propagation are important topics for BSN (body sensor networks) research. To this end, subject-specific modeling is essential for achieving a truly personalized and optimized sensor design. In this paper, a Volumetric Graph Laplacian method is used for subject-specific whole-body mesh warping for finite-difference time-domain (FDTD) simulations. Validation of the method is shown with data from both phantom and MR studies with FDTD simulations.
Keywords :
biological effects of microwaves; biomedical electronics; biomedical measurement; body sensor networks; finite difference time-domain analysis; mesh generation; prosthetics; BSN; FDTD simulations; articulated postures; body sensor networks; finite difference time domain simulations; miniaturized wireless implantable medical devices; miniaturized wireless wearable medical devices; optimal antenna design; optimized sensor design; personalized sensor design; pervasive monitoring; power utilization; radiowave propagation; subject specific RF simulation; subject specific modeling; volumetric graph Laplacian method; whole body mesh warping; Antennas and propagation; Biomedical monitoring; Body sensor networks; Design optimization; Finite difference methods; Implantable biomedical devices; Medical simulation; Radio frequency; Time domain analysis; Wireless sensor networks; 3D mesh warping; deformation modeling; mesh deformation; subject-specific model; volume mesh generation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Body Sensor Networks (BSN), 2010 International Conference on
Conference_Location :
Singapore
Print_ISBN :
978-1-4244-5817-2
Type :
conf
DOI :
10.1109/BSN.2010.12
Filename :
5504738
Link To Document :
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