Paper Info
Title
A Micropower Low-Noise Neural Recording Front-End Circuit for Epileptic Seizure Detection
Abstract
This paper describes a micropower low-noise neural front-end circuit capable of recording epileptic fast ripples (FR). The front-end circuit consisting of a preamplifier followed by a 6th-order bandpass filter is designed for signal sensing in a future epileptic deep brain stimulator. A current-splitting technique is combined with an output-branch current scaling technique in a folded-cascode amplifier structure to improve the noise and power tradeoff in the preamplifier. In measurements, the preamplifier exhibits 39.4 dB DC gain, 0.36 Hz to 1.3 kHz of -3 dB bandwidth, and 3.07 μVrms total input-referred noise while consuming 2.4 μW from a 2.8 V power supply provided by an on-chip regulator circuit. A noise efficiency factor (NEF) of 3.09 is achieved with minimal power consumption and is one of the lowest published to date. The 6th-order follow-the-leader feedback elliptic bandpass filter passes FR signals and provides -110 dB/decade attenuation to out-of-band frequency components. In measurements, the entire front-end circuit achieves a mid-band gain of 38.5 dB, a bandwidth from 250 to 486 Hz, and a total input-referred noise of 2.48 μVrms while consuming 4.5 μW from the 2.8 V power supply. The front-end NEF achieved is 7.6. To the authors' knowledge, the proposed epileptic seizure- detection system is the first to achieve the FR-recording functionality. The chip is fabricated in a standard 0.6 μm CMOS process. Die size is 0.45 mm2.
Year
DOI
Venue
2011
10.1109/JSSC.2011.2126370
J. Solid-State Circuits
Keywords
Field
DocType
voltage 3.07 muv,signal sensing,cmos process,cmos integrated circuits,medical signal detection,preamplifier noise-power tradeoff,diseases,on chip regulator circuit,neurophysiology,folded cascode amplifier structure,size 0.45 mm,output branch current scaling technique,noise efficiency factor,frequency 0.36 hz to 1.3 khz,power 4.5 muw,preamplifiers,epilepsy,epileptic deep brain stimulator,epileptic fast ripples,low-power electronics,medical signal processing,gain 39.4 db,low-power low-noise design,subthreshold circuit design,input referred noise,epileptic seizure detection,bioelectric phenomena,gain 38.5 db,deep brain stimulation,current splitting technique,follow the leader feedback elliptic bandpass filter,micropower low noise neural recording front end circuit,neural amplifier,bandpass filter,out of band frequency components,biomedical electronics,power 2.4 muw,fast ripples,patient diagnosis,elliptic filter,voltage 2.8 v,band-pass filters,front end,topology,gain,low power electronics,transistors,chip,out of band,noise,band pass filters,impedance,resistance,circuit design
Micropower,Preamplifier,Band-pass filter,Computer science,Electronic engineering,CMOS,Bandwidth (signal processing),Elliptic filter,Electrical engineering,Amplifier,Low-power electronics
Journal
Volume
Issue
ISSN
46
6
0018-9200
Citations 
PageRank 
References 
45
3.31
8
Authors
3
Name
Order
Citations
PageRank
Chengliang Qian1624.90
Jordi Parramon2513.81
Edgar Sánchez-Sinencio369698.37