English

Advancing Brain-Machine Interfaces: High Data Rate Battery-Free Implants

Signal Processing 2026-07-31 v1

Abstract

Implantable wireless brain-machine interfaces (BMI) encounter significant challenges in miniaturization, power consumption, and high data volume. While systems utilizing high resolution microelectrode arrays offer precision brain readout and/or stimulation, achieving high-rate wireless connectivity (32-128 Mbps) consumes excessive power, unsuitable for long-term use with implant batteries. This paper addresses wireless connectivity and power challenges by employing radio frequency backscatter and near-field wireless charging. This approach eliminates transceiver electronics in the implantable, reducing implant power consumption by offloading complexity to off-body reader electronics. It enables wireless powering of implantable neural recording and stimulation chips through magnetic coupling, enabling a fully implantable brain-machine interface. We present preliminary test results for this design scenario, demonstrating the feasibility of our approach.

Cite

@article{arxiv.2607.29150,
  title  = {Advancing Brain-Machine Interfaces: High Data Rate Battery-Free Implants},
  author = {Aminolah Hasanvand and Ali Khaleghi and Cyril Beguet and Paul Wanda and Ilangko Balasingham},
  journal= {arXiv preprint arXiv:2607.29150},
  year   = {2026}
}

Comments

3 pages, 4 figures. Supported by B-CRATOS project, Horizon 2020 FET-OPEN, grant 965044