Paper Info
Title
A Minimally Invasive 64-Channel Wireless μECoG 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 μV 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 μW and can be powered by an external reader transmitting 12 mW at 300 MHz, which is over 3× lower than IEEE and FCC regulations.
Year
DOI
Venue
2015
10.1109/JSSC.2014.2364824
J. Solid-State Circuits
Keywords
DocType
Volume
integrated circuits,wireless communication,noise,electrodes,antennas
Journal
50
Issue
ISSN
Citations 
1
0018-9200
54
PageRank 
References 
Authors
1.96
9
11
Name
Order
Citations
PageRank
Rikky Muller18712.53
Hanh-Phuc Le233741.77
Wen Li3572.95
Peter Ledochowitsch4675.50
Simone Gambini529431.64
Toni Björninen69714.77
Aaron C. Koralek71217.04
Jose M. Carmena824735.30
Michel M Maharbiz98820.12
Elad Alon10912121.97
Jan M. Rabaey1147961049.96