• Dumont, Guy A.


    Investigator, BC Children's Hospital
    Professor, Department of Electrical and Computer Engineering, Faculty of Applied Science, University of British Columbia (UBC)
    Distinguished University Scholar, UBC
    Associate Member, Department of Anesthesia, Pharmacology and Therapeutics, UBC

    Degrees / Designations
    Dipl. Ing., PhD, P.Eng.
    Primary Area of Research
    Healthy Starts
    Secondary Area(s) of Research
    604-875-2000 ext. 4859
    Lab Phone
    Megan Stewart (Research Manager)
    Assistant Phone
    604-875-2000 ext. 6669
    Mailing Address

    Clinical Support Building
    Room V3-348
    948 West 28th Ave.
    Vancouver, BC V6H 3N1

    Research Areas
    • Advanced Signal Processing
    • Control Technology
    • Enhanced physiological monitoring
    • Clinical Decision Support

    The Electrical and Computer Engineering in Medicine (ECEM) research group, which I co-direct with Prof Mark Ansermino, BC Children’s Hospital Anesthesiologist and Senior Associate Clinician Scientist, is a multidisciplinary team made up of control, signal processing and biomedical engineers, computer scientists, and clinicians. Our diversity in expertise allows us to contribute to a wide range of innovative projects; we are primarily focused, however, on the development of technology to enhance clinical and ambulatory physiological monitoring. We do so through the application of advanced signal processing and control theory. The ECEM’s work has led to a number of exciting developments.  

    Current Projects

    Anesthesia Control and Monitoring

    1. I have led the development of sophisticated algorithms to detect changes in physiological signals, based on our new concept of context-sensitive monitoring. These algorithms can adapt automatically to patient characteristics and have the potential to increase patient safety by alerting clinicians of impending changes in physiological signals. For robustness against artifacts, we have developed a novel, award-winning algorithm for detection of electrocautery, as well as an elegantly simple sensor fusion method for heart rate monitoring. To implement our algorithms, we have developed iAssist, a flexible extensible software platform that integrates the algorithms with clinical monitors. The thesis describing this work was recognized by the 2008 WAGS/UMI Innovation in Technology Award and has led to a contract with Drager Medical Systems. We have also developed a vibrotactile display that conveys changes in physiological signals to the clinician using the sense of touch. This display, combined with the above algorithms aided in significantly speeding up the administration of life-saving therapy in an intraoperative emergency simulated in a human patient simulation facility. For this collaboration we were awarded the NSERC 2010 Brockhouse Prize for Interdisciplinary Research.

    2. I have led the development of a novel method for estimating anesthetic depth using wavelet analysis of the electroencephalogram. The new, patented (US) index can differentiate between an awake “baseline” state and the state of hypnosis. It has been tested in patients undergoing surgery. The advantages of this new index are that it leads the BIS index (the main commercial method) by about 30 seconds and has a more consistent and predictable dynamic behaviour. We have a licensing agreement with Cleveland Medical Devices. CE marking and Health Canada approval have been obtained for the resulting NeuroSENSE monitor. The device is now distributed in Europe and Canada.

    3. I have spearheaded development of a neuromuscular blockade advisory system based on adaptive control technology. This system was successfully tested in clinical trials and moved on to the development of iControl, a closed-loop control system of anesthesia through fully automated drug delivery. A prototype was tested on pediatric patients, and a two-drug system is being tested on adults.

    Ambulatory physiological monitoring

    1. I have contributed my expertise in engineering novel Bayesian methods of physiological monitoring to the development of non-invasive ambulatory monitoring of circadian rhythms and their correlation with heart rate variability.

    2. Together with my collaborator, Dr. Mark Ansermino, I have developed the “Phone Oximeter” to measure blood oxygen saturation and other derivative parameters (e.g., respiratory and heart rates). This device uses the computing power of a smartphone to provide a mobile, ultra-low cost pulse oximeter for ambulatory use in resource-poor clinical environments. This technology currently plays a crucial role in a large project funded by the Bill and Melinda Gates Foundation on prevention and detection of pre-eclampsia, and has resulted in the creation of a successful UBC spin-off company, LionsGate Technologies. The key intellectual property has been protected and a US Patent issued in February 2015 (US Patent No. 8,958, 859 B2). The company has raised in excess of $2M that includes private equity investments and a $1M contribution from Grand Challenges Canada.

    Selected Publications

    For the latest publications, please visit Dr. Dumont’s ORCID profile

    Honours & Awards

    Natural Sciences and Engineering research Council of Canada Synergy Award for Innovation. 2017

    Research Group Members