DocumentCode :
1365488
Title :
Noise performance design of CMOS preamplifier for the active semiconductor neural probe
Author :
Kim, Kyung Hwan ; Kim, Sung June
Author_Institution :
Sch. of Electr. Eng., Seoul Nat. Univ., South Korea
Volume :
47
Issue :
8
fYear :
2000
Firstpage :
1097
Lastpage :
1105
Abstract :
A systematic design guideline is presented for the noise performance of preamplifier for semiconductor neural probe which contains on-chip electronic circuitry. The overall signal-to noise ratio (SNR) is calculated considering the spectral characteristics of the measured extracellular action potential and the low-frequency noise spectrum of the CMOS device from typical fabrication processes. An analytical expression of the output noise power is derived, and utilized to tailor the frequency response and device parameters which are controllable by the circuit designer. An analysis of the output SNR of a two-stage CMOS differential amplifier is given and the major factors which have significant effects on the SNR are determined. The authors showed that a little deviation of the input device sizes and transconductance ratio from the optimal values can significantly deteriorate the SNR. Quantitative information of the preamplifier circuit parameters for satisfactory noise performance is provided.
Keywords :
CMOS integrated circuits; bioelectric potentials; biological techniques; cellular biophysics; differential amplifiers; frequency response; neurophysiology; noise; preamplifiers; CMOS preamplifier; active semiconductor neural probe; device parameters; input device size; low-frequency noise spectrum; measured extracellular action potential; noise performance design; on-chip electronic circuitry; overall signal-to noise ratio; spectral characteristics; transconductance ratio; Active noise reduction; Circuit noise; Guidelines; Low-frequency noise; Preamplifiers; Probes; Semiconductor device noise; Signal processing; Signal to noise ratio; System-on-a-chip; Action Potentials; Amplifiers; Animals; Biomedical Engineering; Equipment Design; Microelectrodes; Neurons; Semiconductors; Signal Processing, Computer-Assisted;
fLanguage :
English
Journal_Title :
Biomedical Engineering, IEEE Transactions on
Publisher :
ieee
ISSN :
0018-9294
Type :
jour
DOI :
10.1109/10.855938
Filename :
855938
Link To Document :
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