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An Event-Driven SoC for Neural Recording
File | Description | Size | Format | |
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2016_BioCAS_NGNI64_camera.pdf | Accepted version | 1.07 MB | Adobe PDF | View/Open |
Title: | An Event-Driven SoC for Neural Recording |
Authors: | Luan, S Liu, Y Williams, I Constandinou, TG |
Item Type: | Conference Paper |
Abstract: | This paper presents a novel 64-channel ultra-low power/low noise neural recording System-on-Chip (SoC) featuring a highly reconfigurable Analogue Front-End (AFE) and block-selectable data-driven output. This allows a tunable bandwidth/sampling rate for extracting Local Field Potentials (LFPs) and/or Extracellular Action Potentials (EAPs). Realtime spike detection utilises a dual polarity simple threshold to enable an event driven output for neural spikes (16-sample window). The 64-channels are organised into 16 sets of 4-channel recording blocks, with each block having a dedicated 10-bit SAR ADC that is time division multiplexed among the 4 channels. Each channel can be individually powered down and configured for bandwidth, gain and detection threshold. The output can thus combine continuous-streaming and event-driven data packets with the system configured as SPI slave. The SoC is implemented in a commercially-available 0.35u m CMOS technology occupying a silicon area of 19.1mm^2 (0.3mm^2 gross per channel) and requiring 32uW/channel power consumption (AFE only). |
Issue Date: | 26-Jan-2017 |
Date of Acceptance: | 10-Aug-2016 |
URI: | http://hdl.handle.net/10044/1/39163 |
DOI: | https://dx.doi.org/10.1109/BioCAS.2016.7833817 |
Publisher: | IEEE |
Start Page: | 404 |
End Page: | 407 |
Journal / Book Title: | IEEE Biomedical Circuits and Systems (BioCAS) Conference |
Copyright Statement: | © 2016 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. |
Sponsor/Funder: | Engineering & Physical Science Research Council (EPSRC) Engineering & Physical Science Research Council (EPSRC) Engineering & Physical Science Research Council (E Engineering & Physical Science Research Council (EPSRC) Engineering & Physical Science Research Council (E |
Funder's Grant Number: | EP/I000569/1 EP/K015060/1 RES/0560/7386 & EFXD12018 EP/M020975/1 BH141353 (EP/M025977/1) |
Conference Name: | IEEE Biomedical Circuits and Systems (BioCAS) Conference |
Keywords: | Science & Technology Technology Computer Science, Information Systems Engineering, Biomedical Engineering, Electrical & Electronic Computer Science Engineering |
Publication Status: | Published |
Start Date: | 2016-10-17 |
Finish Date: | 2016-10-19 |
Conference Place: | Shanghai, China |
Appears in Collections: | Electrical and Electronic Engineering Faculty of Engineering |