Join the next Industrial Talk: Touchless Patient Monitoring on Jan 25, 2024
Friday 19th January 2024
Join us for the next exciting talk in our MICCAI Industrial Talk Series
Title: Touchless Patient Monitoring: Deriving Physiological Information without Attaching Probes
Date/Time: Jan 25, 2024 7:00 AM(PST)/ 10:00 AM (ET)
(Attendance is free but please register in advance using the zoom link below)
Presenter: Paul S Addison PhD
Paul is the Chief Scientist for Medtronic Patient Monitoring where he is the subject matter expert across various key physiological monitoring technologies. He is also technical lead for the Patient Monitoring Algorithm and AI group in Edinburgh, UK which he set up, and he leads the AI landscaping and IP generation activities in the business. Paul is a Medtronic Bakken Fellow. He joined Medtronic in 2008 through the acquisition of CardioDigital, a UK start-up he co-founded. Prior to that he was a tenured professor of fluids engineering.
Paul has a Masters in Engineering and a PhD in Fluid Mechanics. He has worked on a wide range of biosignals and non-contact monitoring vision technologies and is inventor on 175 US Patents as well as over 200 published articles in the area. He has also written two textbooks: The Illustrated Wavelet Transform Handbook and Fractals and Chaos: An illustrated Course.
Abstract: Non-contact physiological monitoring offers a paradigm shift in accessing physiological information from the patient where, currently, a wide range of physiological parameters are determined using attached probes, including heart rate, respiratory rate, oxygen saturation, and so on. In this setting, where clinical decisions may be based on this information, it is critical that the clinician is provided with a robust and reliable technology which is both accurate across a clinically useful range and provides continuous information which allows for important physiological trends to be spotted early. The presentation will cover the important aspects of developing touchless technologies for this environment using non-contact camera-based methods, highlighting where the main challenges exist. It will draw from the R&D experiences of the presenter working as Chief Scientist within the Patient Monitoring division of Medtronic, the world's largest medical device company.