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Intraneural active probe for bidirectional peripheral nerve interface

Marco Ballini, Joonsung Bae, Nicola Marrocco, Rik Verplancke UGent, David Schaubroeck UGent, Dieter Cuypers UGent, Maarten Cauwe UGent, John O'Callaghan, Ahmed Fahmy, Nima Maghari, et al. (2017) 2017 Symposium on VLSI Circuits. In 2017 Symposium on VLSI Circuits p.C50-C51
abstract
Advanced bionic prosthetics that can restore both the motor functionality and sensory perception of an amputee, require high-resolution recording and stimulation interfaces targeting the peripheral nervous system (PNS). To provide high nerve fiber selectivity, we propose a low-noise (3.67μVrms) low-power (2.24mW) and high-density CMOS microelectrode probe for intra-neural implantation. The probe is composed of two ICs, encapsulated in a biocompatible and hermetic package, each featuring 64 recording and 16 stimulation electrodes. A backend IC digitizes the recorded signals at 31.25kS/s and provides spike detection.
Please use this url to cite or link to this publication:
author
organization
year
type
conference (meetingAbstract)
publication status
published
subject
keyword
Electrodes, Integrated circuits, Flexible printed circuits, Probes, Spatial resolution, Implants, Nervous system
in
2017 Symposium on VLSI Circuits
series title
2017 Symposium on VLSI Circuits
pages
2 pages
publisher
IEEE
conference name
2017 Symposium on VLSI Circuits
conference organizer
IEEE
conference location
Kyoto, Japan
conference start
2017-06-05
conference end
2017-06-08
DOI
10.23919/VLSIC.2017.8008544
language
English
UGent publication?
yes
classification
C3
id
8529405
handle
http://hdl.handle.net/1854/LU-8529405
date created
2017-08-23 09:28:23
date last changed
2017-08-25 07:34:37
@inproceedings{8529405,
  abstract     = {Advanced bionic prosthetics that can restore both the motor functionality and sensory perception of an amputee, require high-resolution recording and stimulation interfaces targeting the peripheral nervous system (PNS). To provide high nerve fiber selectivity, we propose a low-noise (3.67\ensuremath{\mu}Vrms) low-power (2.24mW) and high-density CMOS microelectrode probe for intra-neural implantation. The probe is composed of two ICs, encapsulated in a biocompatible and hermetic package, each featuring 64 recording and 16 stimulation electrodes. A backend IC digitizes the recorded signals at 31.25kS/s and provides spike detection.},
  author       = {Ballini, Marco and Bae, Joonsung and Marrocco, Nicola and Verplancke, Rik and Schaubroeck, David and Cuypers, Dieter and Cauwe, Maarten and O'Callaghan, John and Fahmy, Ahmed and Maghari, Nima and Bashirullah, Rizwan and Van Hoof, Chris and Van Helleputte, Nick and Op de Beeck, Maaike and Braeken, Dries and Mitra, Srinjoy},
  booktitle    = {2017 Symposium on VLSI Circuits},
  keyword      = {Electrodes,Integrated circuits,Flexible printed circuits,Probes,Spatial resolution,Implants,Nervous system},
  language     = {eng},
  location     = {Kyoto, Japan},
  pages        = {C50--C51},
  publisher    = {IEEE},
  title        = {Intraneural active probe for bidirectional peripheral nerve interface},
  url          = {http://dx.doi.org/10.23919/VLSIC.2017.8008544},
  year         = {2017},
}

Chicago
Ballini, Marco, Joonsung Bae, Nicola Marrocco, Rik Verplancke, David Schaubroeck, Dieter Cuypers, Maarten Cauwe, et al. 2017. “Intraneural Active Probe for Bidirectional Peripheral Nerve Interface.” In 2017 Symposium on VLSI Circuits, C50–C51. IEEE.
APA
Ballini, M., Bae, J., Marrocco, N., Verplancke, R., Schaubroeck, D., Cuypers, D., Cauwe, M., et al. (2017). Intraneural active probe for bidirectional peripheral nerve interface. 2017 Symposium on VLSI Circuits (pp. C50–C51). Presented at the 2017 Symposium on VLSI Circuits, IEEE.
Vancouver
1.
Ballini M, Bae J, Marrocco N, Verplancke R, Schaubroeck D, Cuypers D, et al. Intraneural active probe for bidirectional peripheral nerve interface. 2017 Symposium on VLSI Circuits. IEEE; 2017. p. C50–C51.
MLA
Ballini, Marco, Joonsung Bae, Nicola Marrocco, et al. “Intraneural Active Probe for Bidirectional Peripheral Nerve Interface.” 2017 Symposium on VLSI Circuits. IEEE, 2017. C50–C51. Print.