A Minimally Invasive 64-Channel Wireless μeCoG Implant

Rikky Muller, Hanh Phuc Le, Wen Li, Peter Ledochowitsch, Simone Gambini, Toni Björninen, Aaron Koralek, Jose M. Carmena, Michel M. Maharbiz, Elad Alon, Jan M. Rabaey

    Research output: Contribution to journalArticleScientificpeer-review

    297 Citations (Scopus)


    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.

    Original languageEnglish
    Article number6964818
    Pages (from-to)344-359
    Number of pages16
    JournalIEEE Journal of Solid State Circuits
    Issue number1
    Publication statusPublished - 21 Nov 2014
    Publication typeA1 Journal article-refereed


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

    Publication forum classification

    • Publication forum level 3

    ASJC Scopus subject areas

    • Electrical and Electronic Engineering


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