Patents by Inventor Myriam BALERNA

Myriam BALERNA 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).

  • Brain activity prediction
    Patent number: 11556809
    Abstract: A method for estimating a brain activity response following a stimulus of a person comprises the steps: providing a usage data set of the person from a personal device used by said person, wherein at least one usage attribute is associated to said usage data set, wherein attribute data is associated to each of the at least one usage attribute, providing a computational inference model, generated from a plurality of brain activity data sets and a plurality of usage data sets, wherein each brain activity data set comprises data derived from a brain activity response following a sensory stimulus, submitting the attribute data of each of the at least one usage attributes to said computational inference model, estimating a brain activity response following a sensory stimulus of said person by evaluating said computational inference model for the submitted attribute data. The method is useful to determine, for example the influence of intensive touch pad usage (of a smartphone) on somatosensory evoked potentials.
    Type: Grant
    Filed: December 14, 2015
    Date of Patent: January 17, 2023
    Inventors: Arko Ghosh, Eric Rouillier, Magali Chytiris, Myriam Balerna, Anne-Dominique Gindrat
  • BRAIN ACTIVITY PREDICTION
    Publication number: 20170351958
    Abstract: A method for estimating a brain activity response following a stimulus of a person comprises the steps: providing a usage data set of the person from a personal device used by said person, wherein at least one usage attribute is associated to said usage data set, wherein attribute data is associated to each of the at least one usage attribute, providing a computational inference model, generated from a plurality of brain activity data sets and a plurality of usage data sets, wherein each brain activity data set comprises data derived from a brain activity response following a sensory stimulus, submitting the attribute data of each of the at least one usage attributes to said computational inference model, estimating a brain activity response following a sensory stimulus of said person by evaluating said computational inference model for the submitted attribute data. The method is useful to determine, for example the influence of intensive touch pad usage (of a smartphone) on somatosensory evoked potentials.
    Type: Application
    Filed: December 14, 2015
    Publication date: December 7, 2017
    Applicants: UNIVERSITAT ZURICH, UNIVERSITY OF FRIBOURG
    Inventors: Arko GHOSH, Eric ROUILLIER, Magali CHYTIRIS, Myriam BALERNA, Anne-Dominique GINDRAT