Resource efficient pre-processor for drift removal in neurochemical signals
File(s)
Accepted version
Author(s)
Ahmed, Tahmid
Mirza, Khalid B
Nikolic, Konstantin
Type
Conference Paper
Abstract
A necessary requirement for chemometric platforms is pre-processing of the acquired chemical signals to remove baseline drift in the signal. The drift could originate from sensor characteristics or from background chemical activity in the surrounding environment. A recent emerging field is neurochemical monitoring to detect and quantify neural activity. In this paper, a resource efficient pre-processing system is presented to remove drift from the acquired neurochemical signal. The drift removal technique is based on baseline manipulation without requiring window based processing. The target application, for demonstration purposes, is the recording of vagal pH signals to enable closed-loop Vagus Nerve Stimulation (VNS). The final design is multiplier-free and results in an Application Specific Integrated Circuit (ASIC) that is 640 μm by 625 μm in area.
Date Issued
2018-05-04
Date Acceptance
2018-05-01
Citation
2018 IEEE International Symposium on Circuits and Systems (ISCAS), 2018
ISBN
9781538648810
ISSN
0271-4302
Publisher
IEEE
Journal / Book Title
2018 IEEE International Symposium on Circuits and Systems (ISCAS)
Copyright Statement
© 2018 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.
Identifier
http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000451218702108&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=1ba7043ffcc86c417c072aa74d649202
Source
IEEE International Symposium on Circuits and Systems (ISCAS)
Subjects
Science & Technology
Technology
Engineering, Electrical & Electronic
Engineering
Publication Status
Published
Start Date
2018-05-27
Finish Date
2018-05-30
Coverage Spatial
Florence, Italy
Date Publish Online
2018-05-04