Cited by 656Neuroscience and Neural EngineeringAnalog and Mixed-Signal Circuit DesignWireless Body Area Networks

Wireless Implantable Microsystems: High-Density Electronic Interfaces to the Nervous System

Wise, K.D., Anderson, D.J., Hetke, J.F., Kipke, D.R., Najafi, K.·2004·Proceedings of the IEEE

Abstract

This paper describes the development of a high-density electronic interface to the central nervous system. Silicon micromachined electrode arrays now permit the long-term monitoring of neural activity in vivo as well as the insertion of electronic signals into neural networks at the cellular level. Efforts to understand and engineer the biology of the implant/tissue interface are also underway. These electrode arrays are facilitating significant advances in our understanding of the nervous system, and merged with on-chip circuitry, signal processing, microfluidics, and wireless interfaces, they are forming the basis for a family of neural prostheses for the possible treatment of disorders such as blindness, deafness, paralysis, severe epilepsy, and Parkinson's disease.

Integrity signals

Registry

Crossref · 10.1109/jproc.2003.820544

Cites

125 of 125 references verified0 citation errors · 0 not checkable

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  • Multiplexing a high-density electrode array to a smaller amplifier array is a widely used resource-sharing technique that relies on not all electrode sites providing useful information after implantation or on necessary information being obtainable from a small subset, although the useful subset is not known in advance.

    “The first widely used technique consists of multiplexing a high-density electrode array to a much smaller amplifier array. This strategy leverages the fact that not all electrode sites may provide useful information after implantation [97, 101, 145] or that the necessary information can be obtained from a small subset of electrodes, although the useful electrode subset is not known a priori [118].”
  • The traditional wireless power supply design introduces an inductive RF telemetry link.

    “The traditional wireless power supply design is shown in Figure 6A, which introduces an inductive RF telemetry link (Wise et al., 2004).”

    From Advances in Neural Recording and Stimulation Integrated Circuits (2021) · cites this paper as Wise et al., 2004

  • The power supply of the implantable chip is provided by inductors.

    “The power supply of the implantable chip is provided by the inductors.”

    From Advances in Neural Recording and Stimulation Integrated Circuits (2021) · cites this paper as Wise et al., 2004

  • The demodulator is used to decode the received data.

    “The demodulator is used to decode the received data.”

    From Advances in Neural Recording and Stimulation Integrated Circuits (2021) · cites this paper as Wise et al., 2004

  • The clock needed for the implantable chip is generated from the RF carrier.

    “The clock needed for the implantable chip is generated from the RF carrier.”

    From Advances in Neural Recording and Stimulation Integrated Circuits (2021) · cites this paper as Wise et al., 2004

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Authors
Wise, K. D., Anderson, D. J., Hetke, J. F., Kipke, D. R., & Najafi, K.
Affiliations
University of Michigan (US)
Venue
Proceedings of the IEEE
Published
2004-01
Volume
92
Issue
1
Pages
76-97
ISSN
0018-9219 (ISSN-L)
OpenAlex
W2126462474
Cited by
656
References
125
Citations by year
2026: 8 · 2025: 21 · 2024: 12 · 2023: 16 · 2022: 15 · 2021: 25 · 2020: 15 · 2019: 17 · 2018: 18 · 2017: 31 · 2016: 26 · 2015: 36 · 2014: 33 · 2013: 32 · 2012: 26
FWCI
15.92
Type
journal article
Language
en
Open access
closed
Locations
Proceedings of the IEEE (publishedVersion)
Topics
  • Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Neuroscience and Neural Engineering
  • Physical Sciences › Engineering › Biomedical Engineering › Analog and Mixed-Signal Circuit Design
  • Physical Sciences › Engineering › Biomedical Engineering › Wireless Body Area Networks
Keywords
neural interfaces, neural recording, neurostimulation, implant-tissue interface, neural prostheses, microfluidics, on-chip signal processing, blindness, deafness, paralysis, epilepsy, Parkinson's disease

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