4.6 Article Proceedings Paper

A Minimally Invasive 64-Channel Wireless mu ECoG Implant

Journal

IEEE JOURNAL OF SOLID-STATE CIRCUITS
Volume 50, Issue 1, Pages 344-359

Publisher

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/JSSC.2014.2364824

Keywords

Brain; ECoG; EEG; implant; in vivo; low power; neural; recording; rectifier; wireless

Funding

  1. MuSyC Center

Ask authors/readers for more resources

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 x 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 mu V 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 16x reduction in die area with a simultaneous 3x improvement in power efficiency over the state of the art. The IC consumes 225 mu W and can be powered by an external reader transmitting 12 mW at 300 MHz, which is over 3x lower than IEEE and FCC regulations.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.6
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available