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A Battery-Free Neural-Recording Chip Achieving 5.5 cm Fully-Implanted Depth by Galvanically-Switching Passive Body Channel Communication

Yili Shen, Changgui Yang, Yunshan Zhang, Weixiao Wang, Yuxuan Luo, Chaonan Yu, Kedi Xu, Gang Pan, Bo Zhao

2024IEEE Journal of Solid-State Circuits11 citationsDOI

Abstract

Wireless fully implanted devices are widely adopted for long-term neural-recording applications, where the cable-induced infection risk can be avoided. Battery-free communication based on wireless power transfer (WPT) can eliminate the battery to reduce the size of a wireless implant, realizing minimally invasive surgery. However, conventional battery-free implants suffer from a short communication range, such as inductive coupling, near-infrared (NIR) transmission, and active body-channel communication (BCC), which cannot apply to deep brain zones. Ultrasonic power transfer and communication benefit from a low channel loss, but the low carrier frequency leads to a low data rate, which is not able to transfer full-span neural signals such as spikes and multichannel signals. In this work, a galvanically-switching passive-BCC technique is proposed for neural implants, to extend the effective range of both power transfer and wireless communication. The brain tissue is utilized to form a galvanic loop for power delivery, while the neural-recording data switch the loop current to conduct passive BCC. The proposed technique is implemented in a neural recording chip fabricated in a 55-nm CMOS process. Through-tissue measurement shows that the chip realizes a battery-free communication range of 5.5 cm, with a bit-error rate (BER) of <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$4.4\ttimes10^{-6}$</tex-math> </inline-formula> . In the in-vivo demonstration, a 5.9-mm <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$^3$</tex-math> </inline-formula> flexible prototype with the proposed chip inside is fully implanted into a Sprague–Dawley rat, where the neural signals are read battery-free through the passive-BCC technique.

Topics & Concepts

Channel (broadcasting)ChipBattery (electricity)Materials scienceElectrical engineeringOptoelectronicsPower (physics)Electronic engineeringEngineeringPhysicsQuantum mechanicsWireless Body Area NetworksNeuroscience and Neural EngineeringAnalog and Mixed-Signal Circuit Design