DocumentCode
2949979
Title
Neuron action potential detection with tunnel diode oscillation circuit
Author
Lingyao Chen ; Tabib-Azar, Massood
Author_Institution
Dept. of Electr. & Comput. Eng., Univ. of Utah, Salt Lake City, UT, USA
fYear
2012
fDate
28-31 Oct. 2012
Firstpage
1
Lastpage
3
Abstract
We realized for the first time a neuron action potential detection system with tunnel diode oscillation circuit. A tunnel diode oscillator circuit was realized with very high Q (larger than 800,000), very low power (560 uW) and controllable oscillating frequency. Extra-cellular neuron action potentials were generated using a small electric dipole with appropriate input signal. The action potentials were then detected and amplified and input to the tunnel diode circuit that produced a modulated carrier at 16 MHz/8 MHz. This signal was then detected by an external receiver system via inductive coupling and then demodulated, producing the original action potentials. Given the simplicity of this telemetry system and its low power, it can be integrated into a volume smaller than 1 mm3 by using MEMS resonators. Such a miniaturized bio-implantable telemetry system will be invaluable in reverse engineering the brain circuit.
Keywords
Q-factor; bioelectric potentials; biomedical telemetry; brain; low-power electronics; medical signal detection; micromechanical resonators; neurophysiology; reverse engineering; tunnel diode oscillators; MEMS resonators; Q factor; brain circuit; controllable oscillating frequency; electric dipole; external receiver system; extracellular neuron action potentials; inductive coupling; input signal; miniaturized bio-implantable telemetry system; modulated carrier; neuron action potential detection system; reverse engineering; telemetry system; tunnel diode oscillation circuit; tunnel diode oscillator circuit; Coils; Couplings; Electric potential; Firing; Frequency modulation; Neurons; Oscillators;
fLanguage
English
Publisher
ieee
Conference_Titel
Sensors, 2012 IEEE
Conference_Location
Taipei
ISSN
1930-0395
Print_ISBN
978-1-4577-1766-6
Electronic_ISBN
1930-0395
Type
conf
DOI
10.1109/ICSENS.2012.6411376
Filename
6411376
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