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A Minimally Invasive 64-Channel Wireless μeCoG Implant

Tutkimustuotosvertaisarvioitu

Standard

A Minimally Invasive 64-Channel Wireless μeCoG Implant. / Muller, Rikky; Le, Hanh Phuc; Li, Wen; Ledochowitsch, Peter; Gambini, Simone; Björninen, Toni; Koralek, Aaron; Carmena, Jose M.; Maharbiz, Michel M.; Alon, Elad; Rabaey, Jan M.

julkaisussa: IEEE Journal of Solid State Circuits, Vuosikerta 50, Nro 1, 6964818, 21.11.2014, s. 344-359.

Tutkimustuotosvertaisarvioitu

Harvard

Muller, R, Le, HP, Li, W, Ledochowitsch, P, Gambini, S, Björninen, T, Koralek, A, Carmena, JM, Maharbiz, MM, Alon, E & Rabaey, JM 2014, 'A Minimally Invasive 64-Channel Wireless μeCoG Implant', IEEE Journal of Solid State Circuits, Vuosikerta. 50, Nro 1, 6964818, Sivut 344-359. https://doi.org/10.1109/JSSC.2014.2364824

APA

Muller, R., Le, H. P., Li, W., Ledochowitsch, P., Gambini, S., Björninen, T., ... Rabaey, J. M. (2014). A Minimally Invasive 64-Channel Wireless μeCoG Implant. IEEE Journal of Solid State Circuits, 50(1), 344-359. [6964818]. https://doi.org/10.1109/JSSC.2014.2364824

Vancouver

Muller R, Le HP, Li W, Ledochowitsch P, Gambini S, Björninen T et al. A Minimally Invasive 64-Channel Wireless μeCoG Implant. IEEE Journal of Solid State Circuits. 2014 marras 21;50(1):344-359. 6964818. https://doi.org/10.1109/JSSC.2014.2364824

Author

Muller, Rikky ; Le, Hanh Phuc ; Li, Wen ; Ledochowitsch, Peter ; Gambini, Simone ; Björninen, Toni ; Koralek, Aaron ; Carmena, Jose M. ; Maharbiz, Michel M. ; Alon, Elad ; Rabaey, Jan M. / A Minimally Invasive 64-Channel Wireless μeCoG Implant. Julkaisussa: IEEE Journal of Solid State Circuits. 2014 ; Vuosikerta 50, Nro 1. Sivut 344-359.

Bibtex - Lataa

@article{25d810b4272e4585b7b56a1f500ab268,
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.",
keywords = "Brain, ECoG, EEG, implant, in vivo, low power, neural, recording, rectifier, wireless",
author = "Rikky Muller and Le, {Hanh Phuc} and Wen Li and Peter Ledochowitsch and Simone Gambini and Toni Bj{\"o}rninen and Aaron Koralek and Carmena, {Jose M.} and Maharbiz, {Michel M.} and Elad Alon and Rabaey, {Jan M.}",
year = "2014",
month = "11",
day = "21",
doi = "10.1109/JSSC.2014.2364824",
language = "English",
volume = "50",
pages = "344--359",
journal = "IEEE Journal of Solid State Circuits",
issn = "0018-9200",
publisher = "Institute of Electrical and Electronics Engineers",
number = "1",

}

RIS (suitable for import to EndNote) - Lataa

TY - JOUR

T1 - A Minimally Invasive 64-Channel Wireless μeCoG Implant

AU - Muller, Rikky

AU - Le, Hanh Phuc

AU - Li, Wen

AU - Ledochowitsch, Peter

AU - Gambini, Simone

AU - Björninen, Toni

AU - Koralek, Aaron

AU - Carmena, Jose M.

AU - Maharbiz, Michel M.

AU - Alon, Elad

AU - Rabaey, Jan M.

PY - 2014/11/21

Y1 - 2014/11/21

N2 - 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.

AB - 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.

KW - Brain

KW - ECoG

KW - EEG

KW - implant

KW - in vivo

KW - low power

KW - neural

KW - recording

KW - rectifier

KW - wireless

U2 - 10.1109/JSSC.2014.2364824

DO - 10.1109/JSSC.2014.2364824

M3 - Article

VL - 50

SP - 344

EP - 359

JO - IEEE Journal of Solid State Circuits

JF - IEEE Journal of Solid State Circuits

SN - 0018-9200

IS - 1

M1 - 6964818

ER -