DocumentCode
233330
Title
Low power recording and digitizing circuits for neural prosthetics
Author
Poustinchi, Mohammad ; Stacey, R. Greg ; Musallam, Sam
Author_Institution
Electr. & Comput. Eng. Dept., McGill Univ., Montreal, QC, Canada
fYear
2014
fDate
2-4 April 2014
Firstpage
1
Lastpage
5
Abstract
Significant progress has been made in the field of neural prosthetics lately. In order to improve and invent novel wearable and implantable devices, low power consumption is one of the most important concerns. This article discusses low power circuits which are designed, fabricated and tested in our lab which are essential building blocks for neural prosthetics. The circuits include a nano-power current conveyor which senses picoscale to microscale current which corresponds to micro molar neurotransmitter concentration; a nano-power neural amplifier for action potential (AP) detection and amplification and a micro-power ΣΔ analog to digital convertor (ADC) to convert the analog signal (AP or neurotransmitter concentration) to digital codes. These circuits are fabricated in CMOS 0.18 μ technology and tested using recorded signals from posterior parietal cortex of a macaque monkey in our lab.
Keywords
CMOS integrated circuits; current conveyors; nanoelectronics; prosthetic power supplies; sigma-delta modulation; CMOStechnology; action potential amplification; action potential detection; analog to digital convertor; digitizing circuits; low power circuits; low power recording; macaque monkey; micromolar neurotransmitter concentration; nanopower current conveyor; nanopower neural amplifier; neural prosthetics; posterior parietal cortex; size 0.18 mum; Bandwidth; CMOS integrated circuits; Gain; Neurotransmitters; Power dissipation; Prosthetics; Sensors; ΣΔ analog to digital convertor; Low power circuit; current conveyor; neural amplifier; neural prosthetics;
fLanguage
English
Publisher
ieee
Conference_Titel
Devices, Circuits and Systems (ICCDCS), 2014 International Caribbean Conference on
Conference_Location
Playa del Carmen
Print_ISBN
978-1-4799-4684-6
Type
conf
DOI
10.1109/ICCDCS.2014.7016168
Filename
7016168
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