Hierarchical optimization of settings for medical devices
An algorithm for selecting settings on medical devices based on population data and incorporating patient preference and/or benefit of therapy delivered at tested settings.
Technology No. 2020-182
IP Status: Issued US Patent; Patent No.12,343,540
Working prototype tested and used with clinical data
Applications
- Optimization of medical devices
- Personalized neurostimulation
Technology Overview
Patient settings for medical devices used to treat neurological diseases are usually selected based on small clinical trials and doctor experience. Researchers at the University of Minnesota have developed a method for using patient responses to a small set of stimulation parameters to develop a response model based on prior patients to settings beyond those tested. This approach optimizes individual medical device parameters for the patient, decreasing the associated cost and time for tailoring neuromodulation settings.
Phase of Development
TRL: 5-6Working prototype tested and used with clinical data
Desired Partnerships
This technology is now available for:- License
- Sponsored research
- Co-development
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Researchers
- Tay Netoff, Phd Professor, Department of Biomedical Engineering
- David Darrow, MD, MPH Assistant Professor, Neurosurgery Department
- Andrew Lamperski, PhD Associate Professor, Department of Electrical and Computer Engineering