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SUMMARY:On the relationship between Nyquist Rate and healthcare
DTSTART:20171023T111500
DTSTAMP:20260602T023137Z
UID:ce8c99b57d783b1d5629e9f1a1acd29891e556b0ee1ba6fe8c11d120
CATEGORIES:Conferences - Seminars
DESCRIPTION:Prof. Amin Arbabian\, Stanford University\nSilicon Systems to 
 Close the Sub-Sampling Gap in Health Screening and Monitoring \n\nAdvances
  in healthcare technologies have mainly focused on therapeutics\, interven
 tional procedures\, and “late-stage” diagnostics. These steps have und
 ergone significant improvements\, leading to higher survival rates and enh
 ancements in quality of life. Nevertheless\, current trends are unsustaina
 ble due to the inadequate outcomes on specific critical diseases and skyro
 cketing national healthcare costs. An important example is cancer\, where 
 mortality rates have not seen major improvements\, even with the tremendou
 s technological advances in diagnostic imaging tools over the last four de
 cades.\n\nIn this talk I will outline our efforts in better marrying techn
 ology and healthcare with new systems that\n\n1) enable continuous “Nyqu
 ist” imaging and screening to enable preventive/predictive care\, and\n\
 n2) introduce smart implants for precision monitoring and closed-loop ther
 apies. \n\nPreventive screening through continuous monitoring has the pot
 ential to fundamentally revamp our understanding of disease as well as tar
 geted therapy. Today\, the human body is monitored infrequently\, perhaps 
 on an annual basis and with a low “resolution”. This is in contrast wi
 th advanced electronic systems (many of which our community designs and sh
 ips)\, which are frequently monitored and calibrated.  I will summarize a
  few example projects that aim to address these issues\, including portabl
 e\, semiconductor-based\, “Tricorder” imaging systems\, ultrasound-pow
 ered implantable devices that can measure\, detect\, and act upon local ph
 ysiological changes through closed-loop neuromodulation or “electroceuti
 cals”\, and finally our new investigation of a noninvasive methods of ne
 uromodulation based on ultrasonic excitation. \n \nBio: Amin Arbabian re
 ceived his Ph.D. degree in EECS from UC Berkeley in 2011 and in 2012 joine
 d Stanford University\, as an Assistant Professor of Electrical Engineerin
 g. His research interests are in mm-wave and high-frequency circuits and s
 ystems\, imaging technologies\, and ultra-low power sensors and implantabl
 e devices.\n\nProf. Arbabian currently serves on the steering committee of
  RFIC\, the technical program committees of RFIC and ESSCIRC\, and as asso
 ciate 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 Universit
 y Tau Beta Pi Award for Excellence in Undergraduate Teaching\, 2015 NSF CA
 REER award\, 2014 DARPA Young Faculty Award (YFA) including the Director
 ’s Fellowship in 2016\, 2013 Hellman faculty scholarship\, and best pape
 r 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).\n 
LOCATION:INF328 https://plan.epfl.ch/?room=INF328
STATUS:CONFIRMED
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