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

fYear

2011

fDate

10-12 Nov. 2011

Firstpage

73

Lastpage

76

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Biomedical Circuits and Systems Conference (BioCAS), 2011 IEEE

Conference_Location

San Diego, CA

Print_ISBN

978-1-4577-1469-6

Type

conf

DOI

10.1109/BioCAS.2011.6107730

Filename

6107730