Bioelectronics Colloquium

On the Relationship between Nyquist Rate and Healthcare: Silicon Systems to Close the Sub-Sampling Gap in Health Screening and Monitoring

Amin Arbabian, PhD (Stanford University)

Advances in healthcare technologies have mainly focused on therapeutics, interventional procedures, and “late-stage” diagnostics. These steps have undergone significant improvements, leading to higher survival rates and enhancements in quality of life. Nevertheless, current trends are unsustainable due to the inadequate outcomes on specific critical diseases and skyrocketing national healthcare costs. An important example is cancer, where mortality rates have not seen major improvements, even with the tremendous technological advances in diagnostic imaging tools over the last four decades.

In this talk I will outline our efforts in better marrying technology and healthcare with new systems that 1) enable continuous “Nyquist” imaging and screening to enable preventive/predictive care, and 2) introduce smart implants for precision monitoring and closed-loop therapies. Preventive screening through continuous monitoring has the potential to fundamentally revamp our understanding of disease as well as targeted therapy. Today, the human body is monitored infrequently, perhaps on an annual basis and with a low “resolution”. This is in contrast with advanced electronic systems (many of which our community designs and ships), which are frequently monitored and calibrated. I will summarize a few example projects that aim to address these issues, including portable, semiconductor-based, “Tricorder” imaging systems, ultrasound-powered implantable devices that can measure, detect, and act upon local physiological changes through closed-loop neuromodulation or “electroceuticals”, and finally our new investigation of a noninvasive methods of neuromodulation based on ultrasonic excitation.

Amin Arbabian received his Ph.D. degree in EECS from UC Berkeley in 2011 and in 2012 joined Stanford University, as an Assistant Professor of Electrical Engineering. His research interests are in mm-wave and high-frequency circuits and systems, imaging technologies, and ultra-low power sensors and implantable devices. Prof. Arbabian currently serves on the steering committee of RFIC, the technical program committees of RFIC and ESSCIRC, and as associate editor of the IEEE Solid-State Circuits Letters (SSC-L) and the IEEE Journal of Electromagnetics, RF and Microwaves in Medicine and Biology (J-ERM). He is the recipient or co-recipient of the 2016 Stanford University Tau Beta Pi Award for Excellence in Undergraduate Teaching, 2015 NSF CAREER award, 2014 DARPA Young Faculty Award (YFA) including the Director’s Fellowship in 2016, 2013 Hellman faculty scholarship, and best paper awards from several conferences including ISSCC (2010), VLSI Circuits (2014), RFIC symposium (2008 and 2011), ICUWB (2013), PIERS (2015), and the MTT-S BioWireless symposium (2016).

Additional information ...


The monthly meeting of the Section Bioelectronics

Insani Abdi Bangsa, Kostas Konsolakis

PhD Thesis Defence

Yongchang Hu

Signal Strength Based Localization and Path-Loss Exponent Self-Estimation in Wireless Networks

Receiver signal strength is easily observed. How can we do accurate localization based on this?

MSc ME Thesis Presentation

Tianyi Jin

Investigation on Viscoplastic Properties of Au-Sn Die-attach Solder

MSc BME thesis presentation

Insani Abdi Bangsa

System Building Blocks for Mathematical Operators Using Stochastic Resonance -- Application in an Action Potential Detection System

MSc thesis presentation on Stochastic Resonance Systems for Biomedical Applications

The BELCA music festival!

The BELCA Band, Doe Normaal, Rotterdam Centraal

Annual Music Festival of the Sections Bioelectronics and Electronics

Annual music festival with two invited bands and of course the BELCA band. Highly recommended. Free entrance.

MSc ME Thesis Presentation

Shinnosuke Kawasaki

Silicon based microfluidic device for smart assessment of cellular stiffness

MSc BME thesis presentation

Maria Silos Viu

SOMNUS: An Ultra-Wideband Radar-Based Approach for Neonatal Sleep State Classification

MSc ME Thesis Presentation

Shengtai Shi

Effects of silicon oxides as substrates for graphene gas sensor

MSc ME Thesis Presentation

Manvika Singh

Electrostatically activated graphene resonators