DocumentCode :
656959
Title :
A low-power neuromorphic CMOS sensor circuit for the implanted biomolecular detections
Author :
Yang-Guo Li ; Haider, Mohammad Rafiqul
Author_Institution :
Dept. of Electr. & Comput. Eng., Univ. of Alabama at Birmingham, Birmingham, AL, USA
fYear :
2013
fDate :
3-6 Nov. 2013
Firstpage :
1
Lastpage :
4
Abstract :
Amperometric sensor circuit equipped with floating-gate field-effect transistors (FG-FETs) have been extensively used in environmental and biomedical fields for biomolecular detections. Considering the stringent power and dimension requirements of this type of sensors, here we present a low-power biomolecular sensor circuit designed in the concept of neuromorphic circuits. A silicon neuron based sensor circuit is developed to generate a modulated frequency output in response to different current values. The silicon neuron is reconfigured based on a bio-physically inspired neuron model and the proposed circuit achieves nanoampere-level current sensitivity and kilohertz output frequency range. The circuit is designed with a standard 0.13-μm CMOS process. The entire circuit uses only 8 transistors and 4 capacitors and consumes only 2.2 μW power with a 1.1 V supply. The low power dissipation and high area-efficient features of the proposed amperometric sensor circuit make it very suitable for the implanted biomolecular detections.
Keywords :
CMOS integrated circuits; amperometric sensors; biosensors; neural nets; prosthetics; CMOS process; Si; amperometric sensor circuit; biophysically inspired neuron model; floating gate field effect transistor; implanted biomolecular detection; low power neuromorphic CMOS sensor circuit; modulated frequency output; neuromorphic circuit; neuron based sensor circuit; power 2.2 muW; size 0.13 mum; voltage 1.1 V; Biosensors; Capacitors; Logic gates; Neuromorphics; Neurons; Silicon; Transistors;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
SENSORS, 2013 IEEE
Conference_Location :
Baltimore, MD
ISSN :
1930-0395
Type :
conf
DOI :
10.1109/ICSENS.2013.6688234
Filename :
6688234
Link To Document :
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