Neuralite: Enabling Wireless High-Resolution Brain-Computer Interfaces

Hongyao Liu, Junyi Wang, Liuqun Zhai, Yuguang Fang, Jun Huang*

*Corresponding author for this work

Research output: Chapters, Conference Papers, Creative and Literary WorksRGC 32 - Refereed conference paper (with host publication)peer-review

Abstract

Intracortical brain-computer interfaces (iBCIs) promise to sense brain activity at an unprecedented scale and resolution. However, unlocking this potential for practical, untethered applications remains an unsolved challenge. The major barrier is the significant wireless bandwidth required to stream high-resolution brain signals. Existing approaches rely on extensive on-device processing, which is severely constrained by the limited resources of iBCI devices, the complexity of brain signals, and the dynamic nature of neural activity. This paper introduces Neuralite, a wireless iBCI system that integrates high-fidelity brain signal models and effective brain sensing mechanisms within an efficient server-driven streaming framework. By thoroughly characterizing brain signal variability, Neuralite adaptively optimizes streaming under dynamic neural conditions, minimizing bandwidth consumption without imposing excessive burdens on resource-constrained iBCI devices. Experimental results demonstrate that Neuralite significantly reduces bandwidth consumption while preserving neural decoding precision across key iBCI components and representative applications. © 2024 Copyright is held by the owner/author(s). Publication rights licensed to ACM.
Original languageEnglish
Title of host publicationACM MobiCom '24: Proceedings of the 30th Annual International Conference on Mobile Computing and Networking
PublisherAssociation for Computing Machinery
Pages984-999
ISBN (Print)9798400704895
DOIs
Publication statusPublished - Dec 2024
Event30th Annual International Conference on Mobile Computing and Networking (ACM MobiCom 2024) - Washington, United States
Duration: 18 Nov 202422 Nov 2024
https://dl.acm.org/doi/proceedings/10.1145/3636534

Publication series

NameACM MobiCom - Proceedings of the International Conference on Mobile Computing and Networking

Conference

Conference30th Annual International Conference on Mobile Computing and Networking (ACM MobiCom 2024)
Country/TerritoryUnited States
CityWashington
Period18/11/2422/11/24
Internet address

Funding

We thank anonymous reviewers and our shepherd for their valuable feedback and constructive suggestions. This work is supported in part by the Research Grants Council (RGC) of Hong Kong under General Research Fund under Grant 11204722. The work of Y. Fang was supported in part by the Hong Kong SAR Government under the Global STEM Professorship and the Hong Kong Jockey Club under the Hong Kong JC STEM Lab of Smart City (Ref.: 2023-0108).

Research Keywords

  • brain-computer interface
  • neural decoding
  • spike sorting

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