Distributed Microscale Brain Implants with Wireless Power Transfer and Mbps Bi-directional Networked Communications

Vincent Leung, Lingxiao Cui, Sravya Alluri, Ji-Hun Lee, Jiannan Huang, Ethan Mok, Steven Shellhammer, Ramesh R. Rao, P.M. Asbeck, Patrick P. Mercier,

2019 · 29 citations · 8 references

Concepts

Abstract

To dramatically increase the scale and spatial resolution for future chronic electrocorticography (ECoG) applications, we propose a wireless brain-machine interface (BMI) system based on a high number (up to 1000) of freely distributed, sub-mm sized (0.25 mm <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</sup> ) IC implants. The chip features an onchip antenna for RF energy harvesting at 900 MHz and data backscattering at 10 Mbps. In order to synchronize and time-multiplex the uplink data transmission of the untethered chips, while allowing their oscillators to free-run to save power, a robust Mbps ASK-PWM downlink data protocol based on digital counters was implemented. To the best of our knowledge, this paper presents the first experimental validation of simultaneous wireless power transfer and bi-directional RF data communications on a network of (32) brain implant ICs over a single inductive coupling link.

References

8