Initial Steps
Toward Ubiquitous Biomedical Implantable System-on-Chip – An Architectural Perspective
Tuesday October 30, 2007
Hamerschlag Hall D-210
4:30 pm
Allen Cheng
University of Pittsbugh
The idea of implanting micro/nano-scale computer chips inside a human
body for the purpose of collecting, storing, processing, and
communicating biological data ubiquitously for clinical and biomedical
applications is giving the society and its people a revolutionary
break-through perspective on how next-generation computing can evolve to
advance the state and quality of healthcare in the twenty-first century.
These biomedical implantable chips, once realized, can fundamentally
change the way we implement monitoring, diagnosing, and combating
diseases. To date, successful deployment is limited only to implanting
mainly plain RFID tags for storing brief personal identification,
contact information, and some personal medical history. Most of these
RFID tags are passive, read-only devices; they do not act until being
acted upon by some other external devices. One of the main reasons that
prohibit us from obtaining more sophisticated implantable devices is due
to the problem of "energy wall" – today, even the most advanced
state-of-the-art fuel cell technology can not sustain any existing CPU
long enough to avoid frequent battery replacement or recharging; the
power available through existing energy scavengers and RF-based reader
fields is orders of magnitude less than what is required to support even
the simplest general-purpose low-power processor. Because of this huge
energy demand-supply gap, only simple, unsophisticated IC chip with very
little processing power, if any, can be implanted, which has
significantly limited how these chip-based implants can be used. In this
talk, I will be discussing some of the issues and challenges in
designing processors for biomedical implantable systems. Then, I will
describe a promising architecture technique capable of significantly
improving energy-efficiency of a processor so they can be more
adequately powered and correctly functioning in a constrained implant
environment by current and emerging energy-supply technologies in a
foreseeable future.
Professor Allen C. Cheng is an Assistant Professor in the Department of
Electrical and Computer Engineering, Department of Neurological Surgery,
and Department of Computer Science at University of Pittsburgh. He
received his Ph.D. and M.S. in Computer Science and Engineering from the
University of Michigan at Ann Arbor and his B.S. in Computer Engineering
from the North Carolina State University. Prior to join the University
of Pittsburgh, he was a faculty in the College of Engineering at the
University of Michigan at Ann Arbor. His research interest is in the
area of biomedical computing and implantable system-on-chip (SoC) with
emphasis on energy-efficient, reliable, secure, and high-performance
computer system architecture, processor microarchitecture, and compiler
optimizations. He is a member of several international scholar and honor
societies including Eta Kappa Nu, Phi Eta Sigma, and Golden Key. He is
also a member of IEEE, ACM, and AAAS.
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