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A 32-channel bidirectional neural/EMG interface with on-chip spike detection for sensorimotor feedback
File | Description | Size | Format | |
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2016_BioCAS_SenseBack.pdf | Accepted version | 1.92 MB | Adobe PDF | View/Open |
Title: | A 32-channel bidirectional neural/EMG interface with on-chip spike detection for sensorimotor feedback |
Authors: | Williams, I Rapeaux, A Liu, Y Luan, S Constandinou, TG |
Item Type: | Conference Paper |
Abstract: | This paper presents a novel 32-channel bidirectional neural interface, capable of high voltage stimulation and low power, low-noise neural recording. Current-controlled biphasic pulses are output with a voltage compliance of 9.25V, user configurable amplitude (max. 315 uA) & phase duration (max. 2 ms). The low-voltage recording amplifiers consume 23 uW per channel with programmable gain between 225 - 4725. Signals are 10-bit sampled at 16 kHz. Data rates are reduced by granular control of active recording channels, spike detection and event-driven communication, and repeatable multi-pulse stimulation configurations. |
Issue Date: | 26-Jan-2017 |
Date of Acceptance: | 10-Aug-2016 |
URI: | http://hdl.handle.net/10044/1/42259 |
DOI: | 10.1109/BioCAS.2016.7833848 |
Publisher: | IEEE |
Start Page: | 528 |
End Page: | 531 |
Journal / Book Title: | 2016 IEEE Biomedical Circuits and Systems Conference (BioCAS) |
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 (E Engineering & Physical Science Research Council (EPSRC) Engineering & Physical Science Research Council (EPSRC) |
Funder's Grant Number: | EP/M020975/1 BH141353 (EP/M025977/1) EP/K015060/1 EP/I000569/1 |
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 |