A Minimally Invasive 64-Channel Wireless microECoG Implant

Abstract

Emerging applications in brain-machine interface systems require high-resolution, chronic multisite cortical recordings, which cannot be obtained with existing technologies due to high power consumption, high invasiveness, or inability to transmit data wirelessly. In this paper, we describe a microsystem based on electrocorticography (ECoG) that overcomes these difficulties, enabling chronic recording and wireless transmission of neural signals from the surface of the cerebral cortex. The device is comprised of a highly flexible, high-density, polymer-based 64-channel electrode array and a flexible antenna, bonded to 2.4 mm 2.4 mm CMOS integrated circuit (IC) that performs 64-channel acquisition, wireless power and data transmission. The IC digitizes the signal from each electrode at 1 kS/s with 1.2 muV input referred noise, and transmits the serialized data using a 1 Mb/s backscattering modulator. A dual-mode power-receiving rectifier reduces data-dependent supply ripple, enabling the integration of small decoupling capacitors on chip and eliminating the need for external components. Design techniques in the wireless and baseband circuits result in over 16 reduction in die area with a simultaneous 3 improvement in power efficiency over the state of the art. The IC consumes 225 muW and can be powered by an external reader transmitting 12 mW at 300 MHz, which is over 3 lower than IEEE and FCC regulations.

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Document Details

Document Type
Technical Report
Publication Date
Nov 21, 2014
Accession Number
AD1001328

Entities

People

  • Aaron Koralek
  • Elad Alon
  • Hanh-phuc Le
  • Jan M. Rabaey
  • Jose M Carmena
  • Michel M Maharbiz
  • Peter Ledochowitsch
  • Rikky Muller
  • Simone Gambini
  • Toni Bjorninen
  • Wen Li

Organizations

  • University of California, San Francisco

Tags

Communities of Interest

  • Advanced Electronics
  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Computer Science
  • Electrical Engineering
  • Electromagnetic Fields
  • Energy Consumption
  • Engineering
  • Fabrication
  • Integrated Circuits
  • Measurement
  • Neural Engineering
  • Neurosciences
  • Neurotechnology
  • Power Electronics
  • Prosthetics
  • Semiconductors
  • Signal Generators
  • Waveforms
  • Wireless Communications

Readers

  • Computer Science/Computer Engineering/Data Science/Digital Signal Processing.
  • Integrated Circuit Design and Technology.
  • Radio communications and signal processing.