A signal folding neural amplifier exploiting neural signal statistics

Yi Chen, Arindam Basu, Minkyu Je

Research output: Chapters, Conference Papers, Creative and Literary WorksRGC 32 - Refereed conference paper (with host publication)peer-review

5 Citations (Scopus)

Abstract

A novel amplifier for neural recording applications that exploits the 1/n characteristics of neural signals is described in this paper. Comparison and reset circuits are implemented with the core amplifier to fold a large output waveform into a preset range enabling the use of an ADC with less number of bits for the same effective dynamic range. This also reduces the transmission data rate of the recording chip. Both of these features allow power and area savings at the system level. At the receiver, a reconstruction algorithm is applied in the digital domain to recover the amplified signal from the folded waveform. Other features of this proposed amplifier are increased reliability due to removal of pseudo-resistors, less distortion and low-voltage operation. Measurement results from a 65nm CMOS implementation of a prototype are presented. © 2012 IEEE.
Original languageEnglish
Title of host publication2012 IEEE Biomedical Circuits and Systems Conference: Intelligent Biomedical Electronics and Systems for Better Life and Better Environment, BioCAS 2012 - Conference Publications
Pages224-227
DOIs
Publication statusPublished - 2012
Externally publishedYes
Event2012 IEEE Biomedical Circuits and Systems Conference: Intelligent Biomedical Electronics and Systems for Better Life and Better Environment, BioCAS 2012 - Hsinchu, Taiwan, China
Duration: 28 Nov 201230 Nov 2012

Publication series

Name2012 IEEE Biomedical Circuits and Systems Conference: Intelligent Biomedical Electronics and Systems for Better Life and Better Environment, BioCAS 2012 - Conference Publications

Conference

Conference2012 IEEE Biomedical Circuits and Systems Conference: Intelligent Biomedical Electronics and Systems for Better Life and Better Environment, BioCAS 2012
PlaceTaiwan, China
CityHsinchu
Period28/11/1230/11/12

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