Rochester, Minnesota




Barry K. Gilbert, Ph.D., has research interests in the design and fielding of special purpose signal processing computers, in biomedical engineering and specifically biomedical electronics, and in deep data mining of "big data" clinical databases.

Focus areas

  • Design of specialized signal processing computers
  • Design of deep-submicron silicon and non-silicon integrated circuit technologies that can be used to assemble high-performance signal processing computers
  • Application of specialized commercial computing clusters and supercomputers for the mining and analysis of very large clinical databases
  • Development of algorithms for the analysis of terabyte- to petabyte-sized clinical databases, based on the theory of graph analytics and specifically tuned to run well on large-scale computing engines such as Cray supercomputers
  • Development of clinical-grade body-worn physiological monitors for prescription by physicians to their patients

Significance to patient care

Dr. Gilbert is heavily committed to, and involved in, the transfer of electronics technologies from the defense-aerospace-computer communities, where they are developed, to the health care industry, where they are needed to assure the provision of quality medical care to patients under conditions of dwindling national financial resources.

Past and ongoing projects in which Dr. Gilbert's group collaborates with physicians and biomedical researchers include:

  • First development and fielding of GPS-based moving map displays for medical evacuation helicopters, saving 20 minutes of the "golden hour" in accident recovery scenarios
  • World's smallest Global Positioning System receiver, which was incorporated into the U.S. military "Downed Pilot's Radio"
  • Demonstration of telemedicine outreach to underserved communities in North America using the first "intelligent" communications satellite (NASA/DARPA ACTS satellite)
  • Development and fielding of ruggedized body-worn physiological monitoring units suitable for harsh environments such as those faced by professional and amateur mountaineers
  • System and component design and demonstration of a wireless-based, home health care monitoring and critical event reporting system intended for use in both urban and rural regions
  • Use of a novel supercomputer for clinical data mining
  • Use of a novel supercomputer for real-time protection of Mayo Clinic's intranet

Professional highlights

  • Rose M. & Morris Eisenberg Professor, 2008


Primary Appointment

  1. Consultant, Department of Physiology & Biomedical Engineering

Academic Rank

  1. Professor of Biomedical Engineering
  2. Associate Professor of Physiology


  1. PhD - Physiology/Biophysics University of Minnesota Graduate School
  2. BS - Electrical Engineering Purdue University

Mayo Clinic Footer