Patents by Inventor Jurgen Germann

Jurgen Germann has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • DEEP LEARNING-BASED AUTOMATED PARAMETER OPTIMIZATION AND THERAPY SYSTEM FOR DEEP BRAIN STIMULATION
    Publication number: 20240138698
    Abstract: A system for optimizing DBS parameters for a subject includes automatically performing actions via a processor. The actions include obtaining functional MRI data of a brain of the subject acquired utilizing an MRI system during DBS of the brain utilizing a first set of DBS parameters. The actions include generating functional MRI response maps from the functional MRI data. The actions include extracting, utilizing an unsupervised autoencoder-based neural network, features from the functional MRI response maps. The actions include determining, utilizing a deep learning-based DBS parameter classification model, whether the first set of DBS parameters are optimal DBS parameters for the subject based on the features. The actions include, when the first set of DBS parameters are not the optimal DBS parameters, predicting, utilizing a deep learning-based DBS parameter prediction model, a second set of DBS parameters that are the optimal DBS parameters for the subject based on the features.
    Type: Application
    Filed: October 27, 2022
    Publication date: May 2, 2024
    Inventors: Afis Ajala, Jianwei Qiu, John Karigiannis, Radhika Madhavan, Desmond Teck Beng Yeo, Thomas Kwok-Fah Foo, Andres M. Lozano, Alexandre Boutet, Jurgen Germann