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Title: Biphasic quasistatic brain communication for energy-efficient wireless neural implants
Wearable devices typically use electromagnetic fields for wireless information exchange. For implanted devices, electromagnetic signals suffer from a high amount of absorption in tissue, and alternative modes of transmission (ultrasound, optical and magneto-electric) cause large transduction losses due to energy conversion. To mitigate this challenge, we report biphasic quasistatic brain communication for wireless neural implants. The approach is based on electro-quasistatic signalling that avoids transduction losses and leads to an end-to-end channel loss of only around 60 dB at a distance of 55 mm. It utilizes dipole-coupling-based signal transfer through the brain tissue via differential excitation in the transmitter (implant) and differential signal pickup at the receiver (external hub). It also employs a series capacitor before the signal electrode to block d.c. current flow through the tissue and maintain ion balance. Since the electrical signal transfer through the brain is electro-quasistatic up to the several tens of megahertz, it provides a scalable (up to 10 Mbps), low-loss and energy-efficient uplink from the implant to an external wearable. The transmit power consumption is only 0.52 μW at 1 Mbps (with 1% duty cycling)—within the range of possible energy harvesting in the downlink from a wearable hub to an implant.  more » « less
Award ID(s):
1944602
PAR ID:
10541377
Author(s) / Creator(s):
; ; ; ; ;
Publisher / Repository:
Springer Nature
Date Published:
Journal Name:
Nature Electronics
Volume:
6
Issue:
9
ISSN:
2520-1131
Page Range / eLocation ID:
703 to 716
Format(s):
Medium: X
Sponsoring Org:
National Science Foundation
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