University of Minnesota

Tyler Lekang

Theoden Ivan Netoff

Andrew Lamperski

David Darrow

Zixi Zhao

User-specific neurostimulation settings are efficiently determined and optimized based on an optimized set of population-based neurostimulation settings. The population data are clustered and a set of test settings for a new user are selected as settings that efficiently discriminate between the clusters. User preference of the test settings are used to map the user to a particular cluster of settings, which can be used to determine user-specific neurostimulation settings. The user-based settings can be iteratively updated and/or optimized using information from the population data, such as by using average preference score surfaces in the population data to identify and/or filter new test settings for the user.

Growing community of inventors

Minneapolis, MN, United States of America

Tyler Lekang