Patents by Inventor Antoine Gaume

Antoine Gaume 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).

  • System for real-time measurement of the activity of a cognitive function and method for calibrating such a system
    Patent number: 11950919
    Abstract: The invention concerns a method for calibrating a system for real-time measurement of the activity of a cognitive function of a test subject, the method comprising the successive steps of: acquiring electrical signals representative of a neural activity of a test subject; calculating values of markers of the cognitive function activity; generating a plurality of copies of calculated values of markers and adding noise to the generated copies; and, constructing a classifier by machine learning, based on the calculated marker values and noisy copies, the classifier being suitable for measuring the activity of the cognitive function of the test subject by calculating a probability that an electrical signal representative of the neural activity of the test subject results from a predetermined activity state of the cognitive function of the test subject.
    Type: Grant
    Filed: November 21, 2018
    Date of Patent: April 9, 2024
    Assignees: Centre National de la Recherche Scientifique (CNRS), Ecole Superieure e Physique Et De Chimie Industrielles De La Ville De Paris, Sorbonne Universite, Paris Sciences et Lettres
    Inventors: François Vialatte, Aldo Mora-Sanchez, Gérard Dreyfus, Antoine Gaume, Alfredo Aram Pulini
  • System For Real-Time Measurement Of The Activity Of A Cognitive Function And Method For Calibrating Such A System
    Publication number: 20210290142
    Abstract: The invention concerns a method for calibrating a system for real-time measurement of the activity of a cognitive function of a test subject, the method comprising the successive steps of: acquiring electrical signals representative of a neural activity of a test subject; calculating values of markers of the cognitive function activity; generating a plurality of copies of calculated values of markers and adding noise to the generated copies; and, constructing a classifier by machine learning, based on the calculated marker values and noisy copies, the classifier being suitable for measuring the activity of the cognitive function of the test subject by calculating a probability that an electrical signal representative of the neural activity of the test subject results from a predetermined activity state of the cognitive function of the test subject.
    Type: Application
    Filed: November 21, 2018
    Publication date: September 23, 2021
    Applicants: Paris Sciences Et Lettres - Quartier Latin, Centre National de la Recherche Scientifique (CNRS), Ecole Superieure De Physique Et De Chimie Industrielles De La Ville De Paris, Sorbonne Universite
    Inventors: François Vialatte, Aldo Mora-Sanchez, Gérard Dreyfus, Antoine Gaume, Alfredo Aram Pulini