Authors
Vincent W Leung, Lingxiao Cui, Sravya Alluri, Jihun Lee, Jiannan Huang, Ethan Mok, Steven Shellhammer, Ramesh Rao, Peter Asbeck, Patrick P Mercier, Lawrence Larson, Arto Nurmikko, Farah Laiwalla
Publication date
2019/4/14
Conference
2019 IEEE Custom Integrated Circuits Conference (CICC)
Pages
1-4
Publisher
IEEE
Description
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 2 ) 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.
Scholar articles
VW Leung, L Cui, S Alluri, J Lee, J Huang, E Mok… - 2019 IEEE Custom Integrated Circuits Conference …, 2019