Patents by Inventor Vince Calhoun

Vince Calhoun 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).

  • Patent number: 12048565
    Abstract: The present invention is directed to a system and methods of predicting undiagnosed mental disorders in a patient and determining the best medication-class treatment for the mental disorder through the analysis of functional magnetic resonance imaging of functional connectivity of the brain representative of a certain mental disorder.
    Type: Grant
    Filed: January 15, 2019
    Date of Patent: July 30, 2024
    Assignee: UNM RAINFOREST INNOVATIONS
    Inventors: Vince Calhoun, Jing Sui
  • Patent number: 11402452
    Abstract: A system and methods of capturing rapid changes in complex systems by examining the interaction of the various components within the system. A multivariate signal is decomposed into a dictionary of elements and a corresponding sparse mixing matrix Each dictionary element may provide a rank-1 estimation of a disjoint partition of time points of the signal that may permit estimation of the covariance of each partition using an outer-product of the corresponding dictionary element.
    Type: Grant
    Filed: November 21, 2018
    Date of Patent: August 2, 2022
    Inventors: Maziar Yaesoubi, Vince Calhoun
  • Publication number: 20200337650
    Abstract: The present invention is directed to a system and methods of predicting undiagnosed mental disorders in a patient and determining the best medication-class treatment for the mental disorder through the analysis of functional magnetic resonance imaging of functional connectivity of the brain representative of a certain mental disorder.
    Type: Application
    Filed: January 15, 2019
    Publication date: October 29, 2020
    Inventors: Vince CALHOUN, Jing SUI
  • Publication number: 20190154779
    Abstract: The invention is directed to a system and methods of capturing rapid changes in complex systems by examining the interaction of the various components within the system. This may be accomplished by decomposing a multivariate signal into a dictionary of elements and a corresponding sparse mixing matrix. Each dictionary element may provide a rank-1 estimation of a disjoint partition of time points of the signal that may permit estimation of the covariance of each partition using an outer-product of the corresponding dictionary element.
    Type: Application
    Filed: November 21, 2018
    Publication date: May 23, 2019
    Inventors: Maziar Yaesoubi, Vince Calhoun