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Title: A signal folding neural amplifier exploiting neural signal statistics
Authors: Chen, Yi
Basu, Arindam
Je, Minkyu
Keywords: DRNTU::Engineering::Electrical and electronic engineering
Issue Date: 2012
Source: Chen, Y., Basu, A., & Je, M. (2012). A signal folding neural amplifier exploiting neural signal statistics. 2012 IEEE Biomedical Circuits and Systems Conference (BioCAS), 304-307.
Abstract: A novel amplifier for neural recording applications that exploits the 1/fn 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. Meaφsurement results from a 65nm CMOS implementation of a prototype are presented.
DOI: 10.1109/BioCAS.2012.6418456
Rights: © 2012 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. The published version is available at: [].
Fulltext Permission: open
Fulltext Availability: With Fulltext
Appears in Collections:EEE Conference Papers

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