Title :
Wireless channel characterization for mm-size neural implants
Author :
Mark, Michael ; Björninen, Toni ; Chen, Yuhui David ; Venkatraman, Subramaniam ; Ukkonen, Leena ; Sydänheimo, Lauri ; Carmena, Jose M. ; Rabaey, Jan M.
Author_Institution :
EECS Dept., Univ. of California at Berkeley, Berkeley, CA, USA
fDate :
Aug. 31 2010-Sept. 4 2010
Abstract :
This paper discusses an approach to modeling and characterizing wireless channel properties for mm-size neural implants. Full-wave electromagnetic simulation was employed to model signal propagation characteristics in biological materials. Animal tests were carried out, proving the validity of the simulation model over a wide range of frequency from 100MHz to 6GHz. Finally, effects of variability and uncertainty in human anatomy and dielectric properties of tissues on these radio links are explored.
Keywords :
bioelectric phenomena; biological tissues; biomedical communication; neurophysiology; prosthetics; radio links; animal tests; biological materials; dielectric properties; frequency 100 MHz to 6 GHz; full-wave electromagnetic simulation; human anatomy; neural implants; radio links; signal propagation characteristics; tissues; wireless channel; Antenna measurements; Antennas; Biological system modeling; Dielectric measurements; Dielectrics; Uncertainty; Wireless communication; Animals; Computer Simulation; Computer-Aided Design; Equipment Design; Equipment Failure Analysis; Miniaturization; Models, Biological; Prostheses and Implants; Radio Waves; Rats; Scattering, Radiation; Swine; Telemetry;
Conference_Titel :
Engineering in Medicine and Biology Society (EMBC), 2010 Annual International Conference of the IEEE
Conference_Location :
Buenos Aires
Print_ISBN :
978-1-4244-4123-5
DOI :
10.1109/IEMBS.2010.5626695
