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

Hossein Hosseini-Nejad, Abumoslem Jannesari, Amir Sodagar, Joachim Rodrigues

Research output: Contribution to journalArticlepeer-review

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
Original languageEnglish
Pages (from-to)489-501
JournalInternational Journal of Circuit Theory and Applications
Volume43
Issue number4
DOIs
Publication statusPublished - 2015

Subject classification (UKÄ)

  • Electrical Engineering, Electronic Engineering, Information Engineering

Free keywords

  • Neural processsing
  • data compression
  • ASIC
  • low power

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