no code implementations • 20 Jul 2023 • Arunashish Datta, Shreyas Sen
While the number of wearables is steadily growing, the wearables/person wearing them faces a limitation due to the need for charging all of them every day.
no code implementations • 27 Nov 2022 • Jie Yang, Baibhab Chatterjee, Mohammad Abu Khater, Mattias Thorsell, Sten E. Gunnarsson, Tero Kiuru, Shreyas Sen
The system permits an LNA power consumption to tune from 500 mW to 2 W (4X increase) in order to adjust the linearity from P\textsubscript{1dB, IN}=-10. 5 dBm to 0. 5 dBm (>10X increase).
no code implementations • 24 Sep 2022 • Baibhab Chatterjee, K Gaurav Kumar, Shulan Xiao, Gourab Barik, Krishna Jayant, Shreyas Sen
Untethered miniaturized wireless neural sensor nodes with data transmission and energy harvesting capabilities call for circuit and system-level innovations to enable ultra-low energy deep implants for brain-machine interfaces.
no code implementations • 18 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.
no code implementations • 27 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.
no code implementations • 27 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.
no code implementations • 5 Jul 2021 • Abhishek Srivastava, Baibhab Chatterjee, Udit Rawat, Yanbo He, Dana Weinstein, Shreyas Sen
(RFT) allows very high-Q active mode resonators, promising crystal-less monolithic clock generation for mmWave systems.
no code implementations • 27 May 2021 • Gaurav Kumar K, Baibhab Chatterjee, Shreyas Sen
The recent introduction of open source Process Development Kit (OpenPDK) by Skywater technologies in June 2020 has eliminated the barriers to Application-Specific Integrated Circuit (ASIC) design, which is otherwise considered expensive and not easily accessible.
no code implementations • 31 Oct 2020 • Parikha Mehrotra, David Yang, Scott Weigand, Shreyas Sen
However, there is a gap in the knowledge about the mechanism and sources of interference in this region (crucial in allowing for proper choice of data transmission band).
no code implementations • 30 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).
no code implementations • 29 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.
no code implementations • 13 May 2020 • Abhishek Srivastava, Baibhab Chatterjee, Udit Rawat, Yanbo He, Dana Weinstein, Shreyas Sen
Very small electromechanical coupling coefficient in micro-electromechanical systems (MEMS) or acoustic resonators is quite of a concern for oscillator performance, specially at mmWave frequencies.
no code implementations • 11 May 2020 • Shreeya Sriram, Shitij Avlani, Matthew P Ward, Shreyas Sen
Continuous multi-channel monitoring of biopotential signals is vital in understanding the body as a whole, facilitating accurate models and predictions in neural research.
no code implementations • 13 Jun 2018 • Baibhab Chatterjee, Priyadarshini Panda, Shovan Maity, Ayan Biswas, Kaushik Roy, Shreyas Sen
In this work, we will analyze, compare and contrast existing neuron architectures with a proposed mixed-signal neuron (MS-N) in terms of performance, power and noise, thereby demonstrating the applicability of the proposed mixed-signal neuron for achieving extreme energy-efficiency in neuromorphic computing.
no code implementations • 3 May 2018 • Baibhab Chatterjee, Debayan Das, Shovan Maity, Shreyas Sen
Traditional authentication in radio-frequency (RF) systems enable secure data communication within a network through techniques such as digital signatures and hash-based message authentication codes (HMAC), which suffer from key recovery attacks.
no code implementations • 2 May 2018 • Baibhab Chatterjee, Debayan Das, Shreyas Sen
Physical unclonable functions (PUF) in silicon exploit die-to-die manufacturing variations during fabrication for uniquely identifying each die.
no code implementations • 24 Oct 2017 • Baibhab Chatterjee, Priyadarshini Panda, Shovan Maity, Kaushik Roy, Shreyas Sen
This work presents the design and analysis of a mixed-signal neuron (MS-N) for convolutional neural networks (CNN) and compares its performance with a digital neuron (Dig-N) in terms of operating frequency, power and noise.