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

delete2023-09-11
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PRE
AI
A
Aminolah Hasanvand *
A
Ali Khaleghi
B
Beguet, Cyril
P
Paul A. Wanda
B
Balasingham, Ilangko
DOI：10.1109/IMBIOC56839.2023.10305091delete
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Abstract

Abstract

En 中文
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.
Keywords:
Implantable wireless brain-machine interfaces
multielectrode arrays
near-field wireless charging
wireless radio frequency backscatter

Journal

I
IEEE MTT-S International Microwave Biomedical Conference, IMBIOC
IF:
0
Papers:
8
Citations:
0

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