Title :
A Monolithic Bandpass Amplifier for Neural Signal Processing with 25-Hz Low-Frequency Cutoff
Author :
Samsukha, Paras ; Garverick, Steven L.
Author_Institution :
Case Western Reserve Univ., Cleveland
Abstract :
A monolithic bandpass amplifier for neural signal recording is reported. The low-frequency cutoff of the amplifier is obtained using low-gm feedback and a bias current of 500 pA to obtain a predictable response without off-chip components or calibration. The measured passband gain is 37.9 dB from 25 Hz to 15 kHz and input-referred noise is 1.04 muV rms, using a power consumption of 162 muW and a die area of 0.13 mm2 in 0.5-mum CMOS.
Keywords :
amplifiers; analogue integrated circuits; current 500 pA; frequency 25 Hz; frequency 25 Hz to 15 kHz; gain 37.9 dB; low-frequency cutoff; monolithic bandpass amplifier; neural signal processing; power 162 muW; size 0.5 mum; Area measurement; Calibration; Energy consumption; Gain measurement; Low-frequency noise; Neurofeedback; Noise measurement; Passband; Power measurement; Signal processing;
Conference_Titel :
Custom Integrated Circuits Conference, 2007. CICC '07. IEEE
Conference_Location :
San Jose, CA
Print_ISBN :
978-1-4244-1623-3
Electronic_ISBN :
978-1-4244-1623-3
DOI :
10.1109/CICC.2007.4405707
