Title
A Neural Signal Detection Amplifier With Low-Frequency Noise Suppression
Abstract
To detect neural spike signals, low-power neural signal detection amplifiers must amplify small neural signals of a few hundred Hz frequency while suppressing large a DC offset voltage, a 1/f noise of MOSFETs, and an induced noise of AC power supply. To overcome the problem of unwanted noise at such a low signal level, a low-noise neural signal detection amplifier with low-frequency noise suppression scheme was developed utilizing a new autozeroing technique. A test chip was designed and fabricated with a mixed signal 0.18 mu m CMOS technology. The voltage gain of 36dB at the bandwidth of the neural signal and the gain reduction of 20dB at AC supply noise of 60Hz were obtained. The input equivalent noise and power dissipation were 90nV/root-Hz and 90 mu W at a supply voltage of 1.5V, respectively.
Year
DOI
Venue
2009
10.1109/ISCAS.2009.5117835
ISCAS: 2009 IEEE INTERNATIONAL SYMPOSIUM ON CIRCUITS AND SYSTEMS, VOLS 1-5
Keywords
Field
DocType
cmos technology,frequency modulation,modulation,noise,noise measurement,testing,cmos integrated circuits,chip,frequency,voltage,power dissipation,signal detection,low frequency noise
Low-noise amplifier,Noise measurement,Noise (signal processing),Computer science,Noise figure,Noise temperature,Electronic engineering,Effective input noise temperature,Noise generator,Electrical engineering,Burst noise
Conference
Citations 
PageRank 
References 
2
0.52
4
Authors
6
Name
Order
Citations
PageRank
Takeshi Yoshida1309.22
Yoshihiro Masui272.66
Ryoji Eki331.37
Atsushi Iwata4308.84
Masayuki Yoshida520.52
Kazumasa Uematsu631.37