Cited by 31Neuroscience and Neural EngineeringWireless Body Area NetworksWireless Power Transfer Systems

Bridging the “last millimeter” gap of brain-machine interfaces via near-infrared wireless power transfer and data communications

Open access
Moon, Eunseong, Barrow, Michael, Lim, Jongyup, Lee, Jungho, Nason, Samuel R., Costello, Joseph, Kim, Hun Seok, Chestek, Cynthia +3 more·2021·ACS Photonics

Abstract

Arrays of floating neural sensors with high channel count that cover an area of square centimeters and larger would be transformative for neural engineering and brain-machine interfaces. Meeting the power and wireless data communications requirements within the size constraints for each neural sensor has been elusive due to the need to incorporate sensing, computing, communications, and power functionality in a package of approximately 100 micrometers on a side. In this work, we demonstrate a near infrared optical power and data communication link for a neural recording system that satisfies size requirements to achieve dense arrays and power requirements to prevent tissue heating. The optical link is demonstrated using an integrated optoelectronic device consisting of a tandem photovoltaic cell and microscale light emitting diode. End-to-end functionality of a wireless neural link within system constraints is demonstrated using a pre-recorded neural signal between a self-powered CMOS integrated circuit and single photon avalanche photodiode.

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Crossref · 10.1021/acsphotonics.1c00160

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  • A self-powered mote with NIR wireless power and data transfer was designed and showed promising results in a simulated brain environment.

    “In a study incorporating a self-powered mote with NIR wireless power and data transfer, an implant showing promising results in a simulated brain environment is designed (Moon et al., 2021).”

    From Comparative analysis of energy transfer mechanisms for neural implants (2024) · cites this paper as Moon et al., 2021

    The Introduction and Self-Powered NIR Neural Link sections report a self-powered circuit and a successful NIR power-and-data link tested with components placed side by side in a setup that mimicked the proposed link. The Conclusion and Future Implementation section says substantial work remains to assemble and package neural motes, so the paper does not show a completed implant performing in a simulated brain environment. No page numbers are available in our copy. (LLM, conf=0.88)

    Experimental — accuracy not yet measured
  • The projected −41.3 dB total losses of an experimental optical link indicate a need for additional improvement.

    “The projected −41.3 dB total losses of such an experimental optical link point to the necessity for additional improvement.”

    From Comparative analysis of energy transfer mechanisms for neural implants (2024) · cites this paper as Moon et al., 2021

  • Power and data may be wirelessly delivered while simulating the link conditions between the mote and receiver.

    “This effectively shows that power and data may be wirelessly delivered while simulating the link conditions between the mote and receiver.”

    From Comparative analysis of energy transfer mechanisms for neural implants (2024) · cites this paper as Moon et al., 2021

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Research works printed but not linked: 1

  1. Lee J., 2020, bioRxiv, na

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Authors
Moon, E., Barrow, M., Lim, J., Lee, J., Nason, S. R., Costello, J., Kim, H. S., Chestek, C., Jang, T., Blaauw, D., & Phillips, J. D.
Affiliations
  • University of Michigan (US)
  • ETH Zurich (CH)
Corresponding author
Phillips, Jamie D.
Venue
ACS Photonics
Published
2021-04-20
Volume
8
Issue
5
Pages
1430-1438
ISSN
2330-4022 (ISSN-L)
OpenAlex
W3156199991
Cited by
31
References
40
Citations by year
2026: 3 · 2025: 4 · 2024: 5 · 2023: 6 · 2022: 10 · 2021: 3
FWCI
2.77
Type
journal article
Language
en
Open access
Locations
  • ACS Photonics (publishedVersion)
  • PubMed (publishedVersion)
  • PubMed Central (acceptedVersion)
Funders
  • National Eye Institute (R21EY02945201)
  • National Institute of Child Health and Human Development (F31HD098804)
Topics
  • Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Neuroscience and Neural Engineering
  • Physical Sciences › Engineering › Biomedical Engineering › Wireless Body Area Networks
  • Physical Sciences › Engineering › Electrical and Electronic Engineering › Wireless Power Transfer Systems
Keywords
brain-computer interface, optoelectronic integrated devices, single-photon avalanche diodes

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