File Download

There are no files associated with this item.

  • Find it @ UNIST can give you direct access to the published full text of this article. (UNISTARs only)
Related Researcher

김성진

Kim, Seong-Jin
Bio-inspired Advanced Sensors Lab.
Read More

Views & Downloads

Detailed Information

Cited time in webofscience Cited time in scopus
Metadata Downloads

Full metadata record

DC Field Value Language
dc.citation.conferencePlace CH -
dc.citation.conferencePlace 85 Sky Tower HotelKaohsiung -
dc.citation.endPage 192 -
dc.citation.startPage 189 -
dc.citation.title 2014 10th IEEE Asian Solid-State Circuits Conference, A-SSCC 2014 -
dc.contributor.author Kim, Seong-Jin -
dc.contributor.author Liu, Lei -
dc.contributor.author Yao, Lei -
dc.contributor.author Goh, Wang Ling -
dc.contributor.author Gao, Yuan -
dc.contributor.author Je, Minkyu -
dc.date.accessioned 2023-12-19T23:08:00Z -
dc.date.available 2023-12-19T23:08:00Z -
dc.date.created 2015-07-16 -
dc.date.issued 2014-11-12 -
dc.description.abstract A neural recording IC with a new spike detection scheme is proposed to minimize power dissipation while preserving the waveform information of the detected spikes. A delta modulator is employed in the recording IC to reduce signal dynamic range and enable low-voltage operation. A series of output values from the delta modulator are stored in a small amount of analog memory to extract two key features of the neural signal - amplitude and frequency, which are used for accurate spike detection. Using the stored delta values, the precise spike waveform information can be conserved. A prototype recording IC with 16 channels has been fabricated using 0.18-μm CMOS technology. Measurement results demonstrate the spike detection capability successfully. The fabricated IC consumes only 0.88 μW/channel at 0.5-V supply. -
dc.identifier.bibliographicCitation 2014 10th IEEE Asian Solid-State Circuits Conference, A-SSCC 2014, pp.189 - 192 -
dc.identifier.doi 10.1109/ASSCC.2014.7008892 -
dc.identifier.scopusid 2-s2.0-84922567355 -
dc.identifier.uri https://scholarworks.unist.ac.kr/handle/201301/32419 -
dc.identifier.url http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=7008892 -
dc.language 영어 -
dc.publisher 2014 10th IEEE Asian Solid-State Circuits Conference, A-SSCC 2014 -
dc.title A 0.5-V Sub-μW/Channel Neural Recording IC with Delta-Modulation-Based Spike Detection -
dc.type Conference Paper -
dc.date.conferenceDate 2014-11-10 -

qrcode

Items in Repository are protected by copyright, with all rights reserved, unless otherwise indicated.