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“School of Cognitive Sciences”

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Paper   IPM / Cognitive Sciences / 13855
School of Cognitive Sciences
  Title:   A Method for Compression of Intra-Cortically- Recorded Neural Signals Dedicated to Implantable Brain–Machine Interfaces
1.  M.A. Shaeri
2.  A.M. Sodagar
  Status:   Published
  Journal: IEEE Trans Neural Syst Rehabil Eng
  No.:  3
  Vol.:  23
  Year:  2015
  Pages:   485 - 497
  Supported by:  IPM
This paper proposes an efficient data compression technique dedicated to implantable intra-cortical neural recording devices. The proposed technique benefits from processing neural signals in the Discrete Haar Wavelet Transform (DHWT) space, a new spike extraction approach, and a novel data framing scheme to telemeter the recorded neural information to the outside world. Based on the proposed technique, a 64-channel neural signal processor was designed and prototyped as a part of a wireless implantable extra-cellular neural recording microsystem. Designed in a 0.13-??m standard CMOS process, the 64-channel neural signal processor reported in this paper occupies  0.206mm2 of silicon area, and consumes 94.18 μW when operating under a 1.2-V supply voltage at a master clock frequency of 1.28MHz.

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