Patents by Inventor Gisela Hagberg

Gisela Hagberg 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).

  • Methods using recurrence quantification analysis to analyze and generate images
    Patent number: 8422820
    Abstract: Methods for identifying and quantifying recurrent and deterministic patterns in digital images are provided. The methods, which are based on Recurrence Quantification Analysis (RQA), generate similarity or dissimilarity distance matrices for digital images that may be used to calculate a variety of quantitative characteristics for the images. Also provided are methods for identifying and imaging spatial distributions of time variable signals generated from dynamic systems. In these methods a time variable signal is recorded for a plurality of area or volume elements into which a dynamic system has been sectioned and RQA is used to calculate one or more RQA variables for each of the area or volume elements, which may then be used to generate a two or three dimensional image displaying the spatial distribution of the RQA variables across the system.
    Type: Grant
    Filed: September 3, 2008
    Date of Patent: April 16, 2013
    Assignee: Rush University Medical Center
    Inventors: Joseph P. Zbilut, Paolo Sirabella, Marta Bianciardi, Alfredo Colosimo, Gisela Hagberg, Alessandro Giuliani
  • METHODS USING RECURRENCE QUANTIFICATION ANALYSIS TO ANALYZE AND GENERATE IMAGES
    Publication number: 20090080725
    Abstract: Methods for identifying and quantifying recurrent and deterministic patterns in digital images are provided. The methods, which are based on Recurrence Quantification Analysis (RQA), generate similarity or dissimilarity distance matrices for digital images that may be used to calculate a variety of quantitative characteristics for the images. Also provided are methods for identifying and imaging spatial distributions of time variable signals generated from dynamic systems. In these methods a time variable signal is recorded for a plurality of area or volume elements into which a dynamic system has been sectioned and RQA is used to calculate one or more RQA variables for each of the area or volume elements, which may then be used to generate a two or three dimensional image displaying the spatial distribution of the RQA variables across the system.
    Type: Application
    Filed: September 3, 2008
    Publication date: March 26, 2009
    Inventors: Joseph P. Zbilut, Paolo Sirabella, Marta Bianciardi, Gisela Hagberg, Alfredo Colosimo, Alessandro Giuliani
  • Methods using recurrence quantification analysis to analyze and generate images
    Patent number: 7430313
    Abstract: Methods for identifying and quantifying recurrent and deterministic patterns in digital images are provided. The methods, which are based on Recurrence Quantification Analysis (RQA), generate similarity or dissimilarity distance matrices for digital images that may be used to calculate a variety of quantitative characteristics for the images. Also provided are methods for identifying and imaging spatial distributions of time variable signals generated from dynamic systems. In these methods a time variable signal is recorded for a plurality of area or volume elements into which a dynamic system has been sectioned and RQA is used to calculate one or more RQA variables for each of the area or volume elements, which may then be used to generate a two or three dimensional image displaying the spatial distribution of the RQA variables across the system.
    Type: Grant
    Filed: May 4, 2005
    Date of Patent: September 30, 2008
    Inventors: Joseph P. Zbilut, Paolo Sirabella, Marta Bianciardi, Gisela Hagberg, Alfredo Colosimo, Alessandro Giuliani
  • Methods using recurrence quantification analysis to analyze and generate images
    Publication number: 20050271297
    Abstract: Methods for identifying and quantifying recurrent and deterministic patterns in digital images are provided. The methods, which are based on Recurrence Quantification Analysis (RQA), generate similarity or dissimilarity distance matrices for digital images that may be used to calculate a variety of quantitative characteristics for the images. Also provided are methods for identifying and imaging spatial distributions of time variable signals generated from dynamic systems. In these methods a time variable signal is recorded for a plurality of area or volume elements into which a dynamic system has been sectioned and RQA is used to calculate one or more RQA variables for each of the area or volume elements, which may then be used to generate a two or three dimensional image displaying the spatial distribution of the RQA variables across the system.
    Type: Application
    Filed: May 4, 2005
    Publication date: December 8, 2005
    Inventors: Joseph Zbilut, Paolo Sirabella, Marta Bianciardi, Gisela Hagberg, Alfredo Colosimo, Alessandro Giuliani