A Minimally Invasive 64-Channel Wireless μECoG Implant

By R. Muller, Hanh-Phuc Le, Wen Li, P. Ledochowitsch, S. Gambini, T. Björninen, Aaron C. Koralek, Jose M. Carmena, M. Maharbiz, E. Alon and 1 more. IEEE Journal of Solid-State Circuits, 2015

353 citations recorded by the source corpus.

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.

Subfields: Cellular and Molecular Neuroscience, Cognitive Neuroscience, Electrical and Electronic Engineering

View Paper: https://www.semanticscholar.org/paper/9f734383b3ad994a41789dce396bce6ba6ab676c

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In Electrical and Electronic Engineering

Citations in the corpus

Inter-Technology Backscatter: Towards Internet Connectivity for Implanted Devices (2016, methodology): “Instead of using a custom backscatter reader as prior pro-totypes [17, 38, 44], we leverage our design to transmit the data directly to commodity radios.”
Wireless Recording in the Peripheral Nervous System with Ultrasonic Neural Dust. (2016, neutral): “…in rodents (Lee et al., 2013; Szuts et al., 2011) and nonhuman primates (Foster et al., 2014; Schwarz et al., 2014; Yin et al., 2014), as well as mm-scale integrated circuits for neurosensing applications have been developed (Biederman et al., 2015; Denison et al., 2007; Muller et al., 2015).”