Title :
Comprehensive analysis and optimization of CMOS neural amplifiers for wireless recording implants
Author :
Li, Haitao ; Mason, Andrew J.
Author_Institution :
Michigan State Univ., East Lansing, MI, USA
Abstract :
Neural amplifiers play a critical role in the bandwidth, power consumption, noise performance and area of wireless neural recording systems. This paper presents comprehensive analysis of neural amplifier design to optimize these performance characteristics. Amplifier architectures and feedback structures are analyzed to identify the best choice for implantable neural recording applications. Bandwidth and phase margin requirements are analyzed to identify an optimization path through relaxing phase margin requirements. To optimize the noise performance and circuit area, noise capacitive matching is applied to optimize the size of neural amplifier capacitors. Following the optimization guidelines identified in this paper, noise efficiency and a figure of merit for neural amplifiers were effectively improved.
Keywords :
CMOS integrated circuits; biomedical electronics; capacitors; neural chips; optimisation; prosthetics; CMOS neural amplifiers; amplifier architectures; circuit area; comprehensive analysis; feedback structures; neural amplifier capacitors; neural amplifiers; noise capacitive matching; optimization; phase margin requirements; power consumption; wireless neural recording implants; Bandwidth; Capacitance; Gain; Guidelines; Noise; Optimization; Transistors;
Conference_Titel :
Biomedical Circuits and Systems Conference (BioCAS), 2011 IEEE
Conference_Location :
San Diego, CA
Print_ISBN :
978-1-4577-1469-6
DOI :
10.1109/BioCAS.2011.6107730
