A Low Noise Amplifier for Neural Spike Recording Interfaces
AbstractThis paper presents a Low Noise Amplifier (LNA) for neural spike recording applications. The proposed topology, based on a capacitive feedback network using a two-stage OTA, efficiently solves the triple trade-off between power, area and noise. Additionally, this work introduces a novel transistor-level synthesis methodology for LNAs tailored for the minimization of their noise efficiency factor under area and noise constraints. The proposed LNA has been implemented in a 130 nm CMOS technology and occupies 0.053 mm-sq. Experimental results show that the LNA offers a noise efficiency factor of 2.16 and an input referred noise of 3.8 μVrms for 1.2 V power supply. It provides a gain of 46 dB over a nominal bandwidth of 192 Hz–7.4 kHz and consumes 1.92 μW. The performance of the proposed LNA has been validated through in vivo experiments with animal models. View Full-Text
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Ruiz-Amaya, J.; Rodriguez-Perez, A.; Delgado-Restituto, M. A Low Noise Amplifier for Neural Spike Recording Interfaces. Sensors 2015, 15, 25313-25335.
Ruiz-Amaya J, Rodriguez-Perez A, Delgado-Restituto M. A Low Noise Amplifier for Neural Spike Recording Interfaces. Sensors. 2015; 15(10):25313-25335.Chicago/Turabian Style
Ruiz-Amaya, Jesus; Rodriguez-Perez, Alberto; Delgado-Restituto, Manuel. 2015. "A Low Noise Amplifier for Neural Spike Recording Interfaces." Sensors 15, no. 10: 25313-25335.