Citation

BibTex format

@inproceedings{Feng:2021:10.1101/2021.02.01.429239,
author = {Feng, P and Constandinou, TG},
doi = {10.1101/2021.02.01.429239},
publisher = {Cold Spring Harbor Laboratory},
title = {Autonomous Wireless System for Robust and Efficient Inductive Power Transmission to Multi-Node Implants},
url = {http://dx.doi.org/10.1101/2021.02.01.429239},
year = {2021}
}

RIS format (EndNote, RefMan)

TY  - CPAPER
AB - <jats:title>Abstract</jats:title><jats:p>A number of recent and current efforts in brain machine interfaces are developing millimetre-sized wireless implants that achieve scalability in the number of recording channels by deploying a distributed ‘swarm’ of devices. This trend poses two key challenges for the wireless power transfer: (1) the system as a whole needs to provide sufficient power to all devices regardless of their position and orientation; (2) each device needs to maintain a stable supply voltage autonomously. This work proposes two novel strategies towards addressing these challenges: a scalable resonator array to enhance inductive networks; and a self-regulated power management circuit for use in each independent mm-scale wireless device. The proposed passive 2-tier resonant array is shown to achieve an 11.9% average power transfer efficiency, with ultra-low variability of 1.77% across the network.</jats:p><jats:p>The self-regulated power management unit then monitors and autonomously adjusts the supply voltage of each device to lie in the range between 1.7 V-1.9 V, providing both low-voltage and over-voltage protection.</jats:p>
AU - Feng,P
AU - Constandinou,TG
DO - 10.1101/2021.02.01.429239
PB - Cold Spring Harbor Laboratory
PY - 2021///
TI - Autonomous Wireless System for Robust and Efficient Inductive Power Transmission to Multi-Node Implants
UR - http://dx.doi.org/10.1101/2021.02.01.429239
ER -