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A 128-channel discrete cosine transform-based neural signal processor for implantable neural recording microsystems

Hosseini-Nejad, Hossein ; Jannesari, Abumoslem ; Sodagar, Amir and Rodrigues, Joachim LU (2015) In International Journal of Circuit Theory and Applications 43(4). p.489-501
Abstract
A 128-channel neural signal processor for implantable neural recording microsystems is presented. The processor compresses the neural information of 128 simultaneous recording channels using discrete cosine transform, achieving a compression factor of 69 at the expense of a 5.6% root mean square error. The proposed processor is implemented on register transfer level and synthesized in a 65-nm complementary metal-oxide semiconductor process. The post-layout simulated power consumption at 1.2 V is 33.06 μW (258 nW per channel) at an area cost of 0.46 mm2
Please use this url to cite or link to this publication:
author
; ; and
organization
publishing date
type
Contribution to journal
publication status
published
subject
keywords
Neural processsing, data compression, ASIC, low power
in
International Journal of Circuit Theory and Applications
volume
43
issue
4
pages
489 - 501
publisher
John Wiley & Sons Inc.
external identifiers
  • wos:000353639900007
  • scopus:84927698712
ISSN
1097-007X
DOI
10.1002/cta.1955
language
English
LU publication?
yes
id
810adf78-0747-4885-908e-219a7f97aed3 (old id 4076724)
date added to LUP
2016-04-01 10:42:39
date last changed
2022-03-12 08:22:14
@article{810adf78-0747-4885-908e-219a7f97aed3,
  abstract     = {{A 128-channel neural signal processor for implantable neural recording microsystems is presented. The processor compresses the neural information of 128 simultaneous recording channels using discrete cosine transform, achieving a compression factor of 69 at the expense of a 5.6% root mean square error. The proposed processor is implemented on register transfer level and synthesized in a 65-nm complementary metal-oxide semiconductor process. The post-layout simulated power consumption at 1.2 V is 33.06 μW (258 nW per channel) at an area cost of 0.46 mm2}},
  author       = {{Hosseini-Nejad, Hossein and Jannesari, Abumoslem and Sodagar, Amir and Rodrigues, Joachim}},
  issn         = {{1097-007X}},
  keywords     = {{Neural processsing; data compression; ASIC; low power}},
  language     = {{eng}},
  number       = {{4}},
  pages        = {{489--501}},
  publisher    = {{John Wiley & Sons Inc.}},
  series       = {{International Journal of Circuit Theory and Applications}},
  title        = {{A 128-channel discrete cosine transform-based neural signal processor for implantable neural recording microsystems}},
  url          = {{http://dx.doi.org/10.1002/cta.1955}},
  doi          = {{10.1002/cta.1955}},
  volume       = {{43}},
  year         = {{2015}},
}