Bi-Phasic Quasistatic Brain Communication for Fully Untethered Connected Brain Implants

  title={Bi-Phasic Quasistatic Brain Communication for Fully Untethered Connected Brain Implants},
  author={Baibhab Chatterjee and Mayukh Nath and K Gaurav Kumar and Shulan Xiao and Krishna Jayant and Shreyas Sen},
Wireless communication using electro-magnetic (EM) fields acts as the backbone for information exchange among wearable devices around the human body. However, for Implanted devices, EM fields incur high amount of absorption in the tissue, while alternative modes of transmission including ultrasound, optical and magneto-electric methods result in large amount of transduction losses due to conversion of one form of energy to another, thereby increasing the overall end-to-end energy loss. To solve… 


Enabling Covert Body Area Network using Electro-Quasistatic Human Body Communication
Electro-Quasistatic Human Body Communication (EQS-HBC), a method for localizing signals within the body using low-frequency carrier-less (broadband) transmission, thereby making it extremely difficult for a nearby eavesdropper to intercept critical private data, thus producing a covert communication channel, i.e. the human body.
A Miniaturized Wireless Neural Implant with Body-Coupled Data Transmission and Power Delivery for Freely Behaving Animals
To enable non-tethered implants, a key feature for the robust and high-fidelity neural interface, neural implants using various wireless technologies have been reported, but the use of an inductive link imposes a stringent requirement on the alignment between coils, as well as a limited transfer range.
Bio-Physical Modeling, Characterization, and Optimization of Electro-Quasistatic Human Body Communication
A lumped bio-physical model of HBC is developed, supported by experimental validations that provide insight into some of the key discrepancies found in previous studies, and capacitive voltage mode termination can improve the low frequency loss by up to 50 dB, which helps broadband communication significantly.
An implantable wireless neural interface for recording cortical circuit dynamics in moving primates.
An implanted wireless broadband neural recording device evaluated in non-human primate and swine models and showed that the wireless implant was electrically stable, effective in capturing and delivering broadband neural data, and safe for over one year of testing.
A 1.15μW 5.54mm3 Implant with a Bidirectional Neural Sensor and Stimulator SoC utilizing Bi-Phasic Quasi-static Brain Communication achieving 6kbps-10Mbps Uplink with Compressive Sensing and RO-PUF based Collision Avoidance
Bi-Phasic Quasi-static Brain Communication (BP-QBC) eliminates the need for sub-cranial interrogators, utilizing quasi-static electrical signals for end-to-end BCC, avoiding transduction losses.
Ionic communication for implantable bioelectronics
This work created a fully implantable IC-based neural interface device that acquired and noninvasively transmitted neurophysiologic data from freely moving rodents over a period of weeks with stability sufficient for isolation of action potentials from individual neurons.
Electric-Field Intrabody Communication Channel Modeling With Finite-Element Method
The FEM investigation finds that the capacitive return path is critical to the characteristics of the EF-IBC channel, and a simplified circuit model is derived to provide an efficient tool for the transceiver design.
34.3 An 8.2mm3 Implantable Neurostimulator with Magnetoelectric Power and Data Transfer
MagNI (Magnetoelectric Neural Implant), the first untethered and programmable neural implant exploiting ME effects, is presented, which integrates a 1.5mm2 180nm CMOS SoC, an in-house built 4mmx2mm ME film, a single energy storage capacitor, and on-board electrodes onto a flexible polyimide substrate.
A mm-sized free-floating wirelessly powered implantable optical stimulating system-on-a-chip
A practical mm-sized Free-Floating Wirelessly-powered implantable Optical Stimulating (FF-WIOS) SoC is proposed to not only eliminate the tethering effects but also reduce the level of invasiveness and SAR in the tissue.
An Implantable Wireless Network of Distributed Microscale Sensors for Neural Applications
This work describes the development of a wireless network of sub-mm, untethered, individually addressable, fully wireless "Neurograin" sensors, in the context of an epicortical implant, and describes neurograin performance specifications and proof-of-concept in bench top and ex vivo and in vivo rodent platforms.