A neural signal detection amplifier with low-frequency noise suppression

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...

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Bibliographic Details
Main Authors: Yoshida, T., Masui, Y., Eki, R., Iwata, A., Yoshida, M., Uematsu, K.
Format: Conference Proceeding
Language:English
Subjects:
CMOS technology
Frequency
Low-frequency noise
Low-noise amplifiers
MOSFETs
Noise level
Power supplies
Signal detection
Testing
Voltage
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Description
Summary: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 mum CMOS technology. The voltage gain of 36 dB at the bandwidth of the neural signal and the gain reduction of 20 dB at AC supply noise of 60 Hz were obtained. The input equivalent noise and power dissipation were 90 nV/root-Hz and 90 muW at a supply voltage of 1.5 V, respectively.
ISSN:0271-4302
2158-1525
DOI:10.1109/ISCAS.2009.5117835