Title :
A Fully Passive Wireless Backscattering Neurorecording Microsystem Embedded in Dispersive Human-Head Phantom Medium
Author :
Schwerdt, Helen N. ; Miranda, Félix A. ; Chae, Junseok
Author_Institution :
Sch. of Electr., Arizona State Univ., Tempe, AZ, USA
fDate :
6/1/2012 12:00:00 AM
Abstract :
This letter reports a microfabricated fully passive circuit for extracting and transmitting targeted neuropotentials wirelessly via the backscattering effect without any internal power source or harvester. Radiating electromagnetic waves experience attenuation, phase and wavelength alteration, and random scattering effects when propagating through dispersive biological media (i.e., human head), and these effects are augmented at microwave frequencies required for practical miniaturization of the integrated microsystem antenna. The authors examine the fully passive microsystem for wireless recording of emulated neuropotentials as implanted in a phantom mimicking the human head. The wireless measurements of emulated neuropotentials acquired by the microsystem demonstrate its promising capabilities for neurological applications.
Keywords :
backscatter; bioMEMS; bioelectric potentials; electromagnetic wave scattering; embedded systems; microfabrication; microwave antennas; microwave propagation; neurophysiology; passive networks; phantoms; recording; attenuation; backscattering effect; dispersive biological media; dispersive human-head phantom medium; electromagnetic wave radiation; emulated neuropotentials; fully passive circuit fabrication; fully passive wireless backscattering neurorecording microsystem; integrated microsystem antenna; microwave frequencies; neurological applications; phase alteration; power harvester; power source; random scattering effects; wavelength alteration; wireless measurements; wireless recording; wireless targeted neuropotentials extraction; wireless targeted neuropotentials transmission; Antennas; Backscatter; Frequency modulation; Phantoms; Silicon; Wireless communication; Wireless sensor networks; Biological microelectromechanical systems (bio-MEMS); electromagnetic (EM) backscattering; neural recording;
Journal_Title :
Electron Device Letters, IEEE
DOI :
10.1109/LED.2012.2190967