Search Results for author: Mayukh Nath

Found 5 papers, 0 papers with code

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

no code implementations18 May 2022 Baibhab Chatterjee, Mayukh Nath, Gaurav Kumar K, Shulan Xiao, Krishna Jayant, Shreyas Sen

To solve the challenge of powering and communication in a brain implant with low end-end channel loss, we present Bi-Phasic Quasistatic Brain Communication (BP-QBC), achieving < 60dB worst-case end-to-end channel loss at a channel length of 55mm, by avoiding the transduction losses during field-modality conversion.

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Channel Modeling for Physically Secure Electro-Quasistatic In-Body to Out-of-Body Communication with Galvanic Tx and Multimodal Rx

no code implementations27 Apr 2022 Arunashish Datta, Mayukh Nath, Baibhab Chatterjee, Nirmoy Modak, Shreyas Sen

Increasing number of devices being used in and around the human body has resulted in the exploration of the human body as a communication medium.

A Quantitative Analysis of Physical Security and Path Loss With Frequency for IBOB Channel

no code implementations27 Apr 2022 Arunashish Datta, Mayukh Nath, Baibhab Chatterjee, Shovan Maity, Shreyas Sen

Security vulnerabilities demonstrated in implantable medical devices have opened the door for research into physically secure and low power communication methodologies.

Understanding The Role of Magnetic and Magneto-Quasistatic Fields in Human Body Communication

no code implementations30 Oct 2020 Mayukh Nath, Alfred Krister Ulvog, Scott Weigand, Shreyas Sen

With the advent of wearable technologies, Human Body Communication (HBC) has emerged as a physically secure and power-efficient alternative to the otherwise ubiquitous Wireless Body Area Network (WBAN).

Advanced Biophysical Model to Capture Channel Variability for EQS Capacitive HBC

no code implementations29 Oct 2020 Arunashish Datta, Mayukh Nath, David Yang, Shreyas Sen

FEM based simulation results are used to analyze the channel response of human body for different positions and sizes of the device which are further verified using measurement results to validate the developed biophysical model.

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