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
Link To Document :
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