Patents by Inventor Ronald R. Coifman

Ronald R. Coifman 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: 11020059
    Abstract: A real-time automated method to diagnose and/or detect stroke and engage the patient, care-takers, emergency medical system and stroke neurologists in the management of this condition includes the steps of continuously measuring natural limb activity, conveying the measurements to a cloud based real-time data processing system, identifying patient specific alert conditions, and determining solutions for acting upon needs of the patient. The system by which the method is implemented includes at least one body worn sensor continuously measuring natural limb activity and a patient worn data transmission device conveying the measurements to a cloud based real-time data processing system that identifies patient specific alert conditions and determines solutions for acting upon needs of the patient.
    Type: Grant
    Filed: January 12, 2017
    Date of Patent: June 1, 2021
    Assignee: YALE UNIVERSITY
    Inventors: Kevin N. Sheth, Hitten P. Zaveri, Ronald R. Coifman
  • Patent number: 10333953
    Abstract: Detection of abnormalities in multi-dimensional data is performed by processing the multi-dimensional data to obtain a reduced dimension embedding matrix, using the reduced dimension embedding matrix to form a lower dimension (of at least 2D) embedded space, applying an out-of-sample extension procedure in the embedded space to compute coordinates of a newly arrived data point and using the computed coordinates of the newly arrived data point and Euclidean distances to determine whether the newly arrived data point is normal or abnormal.
    Type: Grant
    Filed: December 10, 2017
    Date of Patent: June 25, 2019
    Assignee: ThetaRay Ltd.
    Inventors: Amir Averbuch, Ronald R. Coifman, Gil David
  • Publication number: 20190029606
    Abstract: A real-time automated method to diagnose and/or detect stroke and engage the patient, care-takers, emergency medical system and stroke neurologists in the management of this condition includes the steps of continuously measuring natural limb activity, conveying the measurements to a cloud based real-time data processing system, identifying patient specific alert conditions, and determining solutions for acting upon needs of the patient. The system by which the method is implemented includes at least one body worn sensor continuously measuring natural limb activity and a patient worn data transmission device conveying the measurements to a cloud based real-time data processing system that identifies patient specific alert conditions and determines solutions for acting upon needs of the patient.
    Type: Application
    Filed: January 12, 2017
    Publication date: January 31, 2019
    Inventors: Kevin N. Sheth, Hitten P. Zaveri, Ronald R. Coifman
  • Patent number: 10187409
    Abstract: Detection of abnormalities in multi-dimensional data is performed by processing the multi-dimensional data to obtain a reduced dimension embedding matrix, using the reduced dimension embedding matrix to form a lower dimension (of at least 2D) embedded space, applying an out-of-sample extension procedure in the embedded space to compute coordinates of a newly arrived data point and using the computed coordinates of the newly arrived data point and Euclidean distances to determine whether the newly arrived data point is normal or abnormal.
    Type: Grant
    Filed: November 6, 2017
    Date of Patent: January 22, 2019
    Assignee: ThetaRay Ltd.
    Inventors: Amir Averbuch, Ronald R. Coifman, Gil David
  • Patent number: 9843596
    Abstract: Detection of abnormalities in multi-dimensional data is performed by processing the multi-dimensional data to obtain a reduced dimension embedding matrix, using the reduced dimension embedding matrix to form a lower dimension (of at least 2D) embedded space, applying an out-of-sample extension procedure in the embedded space to compute coordinates of a newly arrived data point and using the computed coordinates of the newly arrived data point and Euclidean distances to determine whether the newly arrived data point is normal or abnormal.
    Type: Grant
    Filed: July 3, 2015
    Date of Patent: December 12, 2017
    Assignee: ThetaRay Ltd.
    Inventors: Amir Averbuch, Ronald R. Coifman, Gil David
  • Patent number: 9786275
    Abstract: The present invention relates to a system for suppressing transient interference from a signal. The system includes a modeling system, wherein the modeling system constructs a model of transient interference from a first signal, and a filtering system, wherein the filtering system suppresses transient interference from a second signal by applying the model to the second signal.
    Type: Grant
    Filed: March 15, 2013
    Date of Patent: October 10, 2017
    Assignee: YALE UNIVERSITY
    Inventors: Ronald R. Coifman, Ali Haddad, Ronen Talmon
  • Patent number: 9147162
    Abstract: A method for classification of a newly arrived multidimensional data point (MDP) in a dynamic data uses multi-scale extension (MSE). The multi-scale out-of-sample extension (OOSE) uses a coarse-to-fine hierarchy of the multi-scale decomposition of a Gaussian kernel that established the distances between MDPs in a training set to find the coordinates of newly arrived MDPs in an embedded space. A well-conditioned basis is first generated in a source matrix of MDPs. A single-scale out-of-sample extension (OOSE) is applied to the newly arrived MDP on the well-conditioned basis to provide coordinates of an approximate location of the newly arrived MDP in an embedded space. A multi-scale OOSE is then applied to the newly arrived MDP to provide improved coordinates of the newly arrived MDP location in the embedded space.
    Type: Grant
    Filed: March 15, 2013
    Date of Patent: September 29, 2015
    Assignee: ThetaRay Ltd.
    Inventors: Amir Averbuch, Amit Bermanis, Ronald R. Coifman
  • Publication number: 20150046156
    Abstract: The present invention relates to a system for suppressing transient interference from a signal. The system includes a modeling system, wherein the modeling system constructs a model of transient interference from a first signal, and a filtering system, wherein the filtering system suppresses transient interference from a second signal by applying the model to the second signal.
    Type: Application
    Filed: March 15, 2013
    Publication date: February 12, 2015
    Inventors: Ronald R. Coifman, Ali Haddad, Ronen Talmon
  • Publication number: 20140114977
    Abstract: The present invention is directed to a method and computer system for representing a dataset comprising N documents by computing a diffusion geometry of the dataset comprising at least a plurality of diffusion coordinates. The present method and system stores a number of diffusion coordinates, wherein the number is linear in proportion to N.
    Type: Application
    Filed: December 19, 2013
    Publication date: April 24, 2014
    Applicants: PLAIN SIGHT SYSTEMS, INC., YALE UNIVERSITY
    Inventors: RONALD R. COIFMAN, ANDREAS C. COPPI, FRANK B. GESHWIND, STEPHANE S. LAFON, ANN B. LEE, MAURO M. MAGGIONI, FREDERICK J. WARNER, STEVEN ZUCKER, WILLIAM G. FATELEY
  • Publication number: 20130246325
    Abstract: A method for classification of a newly arrived multidimensional data point (MDP) in a dynamic data uses multi-scale extension (MSE). The multi-scale out-of-sample extension (OOSE) uses a coarse-to-fine hierarchy of the multi-scale decomposition of a Gaussian kernel that established the distances between MDPs in a training set to find the coordinates of newly arrived MDPs in an embedded space. A well-conditioned basis is first generated in a source matrix of MDPs. A single-scale out-of-sample extension (OOSE) is applied to the newly arrived MDP on the well-conditioned basis to provide coordinates of an approximate location of the newly arrived MDP in an embedded space. A multi-scale OOSE is then applied to the newly arrived MDP to provide improved coordinates of the newly arrived MDP location in the embedded space.
    Type: Application
    Filed: March 15, 2013
    Publication date: September 19, 2013
    Inventors: Amir Averbuch, Amit Bermanis, Ronald R. Coifman
  • Publication number: 20130212104
    Abstract: The present invention is directed to a method and computer system for representing a dataset comprising N documents by computing a diffusion geometry of the dataset comprising at least a plurality of diffusion coordinates. The present method and system stores a number of diffusion coordinates, wherein the number is linear in proportion to N.
    Type: Application
    Filed: July 9, 2012
    Publication date: August 15, 2013
    Inventors: RONALD R. COIFMAN, ANDREAS C. COPPI, FRANK GESHWIND, STEPHANE S. LAFON, ANN B. LEE, MAURO M. MAGGIONI, FREDERICK J. WARNER, STEVEN ZUCKER, WILLIAM G. FATELY
  • Patent number: 8355998
    Abstract: A method for hierarchical clustering comprises multi-level partitioning of data points into non-overlapping LDFs and formation of sets of such LDFs, wherein original data points may reside in different LDFs. The sets of LDFs are then hierarchically processed into sets of super-LDFs, which are further processed up the hierarchy. In some embodiments, the further processing ends with the construction of a single super-LDF at the root of the hierarchy. The partitioning of the data points and the hierarchical processing of the sets of LDFs and super-LDFs uses respective local affinity matrices.
    Type: Grant
    Filed: February 18, 2010
    Date of Patent: January 15, 2013
    Inventors: Amir Averbuch, Ronald R. Coifman, Gil David
  • Publication number: 20120047123
    Abstract: The present invention is directed to a method and computer system for representing a dataset comprising N documents by computing a diffusion geometry of the dataset comprising at least a plurality of diffusion coordinates. The present method and system stores a number of diffusion coordinates, wherein the number is linear in proportion to N.
    Type: Application
    Filed: November 3, 2011
    Publication date: February 23, 2012
    Inventors: RONALD R. COIFMAN, Andreas C. COPPI, Frank GESHWIND, Stephane S. LAFON, Ann B. LEE, Mauro M. MAGGIONI, Frederick J. WARNER, Steven ZUCKER, William G. FATELEY
  • Publication number: 20100274753
    Abstract: The present invention is directed to a method for inferring/estimating missing values in a data matrix d(q, r) having a plurality of rows and columns comprises the steps of: organizing the columns of the data matrix d(q, r) into affinity folders of columns with similar data profile, organizing the rows of the data matrix d(q, r) into affinity folders of rows with similar data profile, forming a graph Q of augmented rows and a graph R of augmented columns by similarity or correlation of common entries; and expanding the data matrix d(q, r) in terms of an orthogonal basis of a graph Q×R to infer/estimate the missing values in said data matrix d(q, r).on the diffusion geometry coordinates.
    Type: Application
    Filed: May 20, 2010
    Publication date: October 28, 2010
    Inventors: Edo Liberty, Steven Zucker, Yosi Keller, Mauro M. Maggioni, Ronald R. Coifman, Frank Geshwind
  • Patent number: 7652765
    Abstract: A hyper-spectral imaging system comprises imaging foreoptics (1020) to focus on a scene or object of interest (1010) and transfer the image of said scene or object (1010) onto the focal plane of a spatial light modulator (1030), a spatial light modulator (1030) placed at a focal plane of said imaging foreoptics (1020), an imaging dispersion device (1040) disposed to receive an output image of the spatial light modulator (1030), and an image collecting device disposed to receive the output of the imaging dispersion device (1040).
    Type: Grant
    Filed: March 7, 2005
    Date of Patent: January 26, 2010
    Assignee: Plain Sight Systems, Inc.
    Inventors: Frank Geshwind, Andreas C. Coppi, Richard A. Deverse, Ronald R. Coifman, William G. Fateley
  • Publication number: 20090299975
    Abstract: The present invention is directed to a method and computer system for representing a dataset comprising N documents by computing a diffusion geometry of the dataset comprising at least a plurality of diffusion coordinates. The present method and system stores a number of diffusion coordinates, wherein the number is linear in proportion to N.
    Type: Application
    Filed: March 3, 2009
    Publication date: December 3, 2009
    Inventors: RONALD R. COIFMAN, Andreas C. Coppi, Frank Geshwind, Stephane S. Lafon, Ann B. Lee, Mauro M. Maggioni, Frederick J. Warner, Steven Zucker, William G. Fateley
  • Patent number: 7589772
    Abstract: An apparatus and method for multispectral imaging comprising an array of filters in a mosaic pattern, a sensor array and an acquisition and processing module. The sensor array being disposed to receive an image that has been filtered by the array of filters. The acquisition and processing module processes the output of the sensor array (or mosaic acquired data) to provide a processed image. The acquisition and processing module processes the mosaic acquired data by performing first interpolation on the mosaic acquired data by the sensor array to provide a first approximation and performing second interpolation on the values of the first approximation to provide a second approximation.
    Type: Grant
    Filed: September 20, 2006
    Date of Patent: September 15, 2009
    Inventors: Ronald R. Coifman, Frank Geshwind, Andreas C. Coppi, William G. Fateley, Richard A. Deverse, Yosi Keller, Alon Schclar
  • Patent number: 7562057
    Abstract: An improved method and system for classifying tissue samples comprises determining a tissue type classification based on spectral data of training samples of known target classification. Denoised spectral data is generated from the spectral data based on the tissue type classification. A classifier is then trained using the denoised spectral data to classify the tissue samples.
    Type: Grant
    Filed: September 19, 2005
    Date of Patent: July 14, 2009
    Assignee: Plain Sight Systems, Inc.
    Inventors: Mauro M. Maggioni, Ronald R. Coifman, Andreas C. Coppi, Gustave L. Davis, Richard A. Deverse, William G. Fateley, Frank Geshwind, Frederick J. Warner
  • Patent number: 7248358
    Abstract: A spectral measurement device comprising an entrance aperture for receiving an electromagnetic energy and a mask located at the entrance aperture in the form of a two-dimensional encodement pattern. An optical element conditions the electromagnetic energy received from the mask for presentation to the spectral dispersion element and the and a spectral dispersion element disperses the electromagnetic energy in one or more dimensions. Additionally, the optical element conditions the dispersed electromagnetic energy onto an array of detector elements.
    Type: Grant
    Filed: October 4, 2005
    Date of Patent: July 24, 2007
    Assignee: Plain Sight Systems, Inc.
    Inventors: Frank Geshwind, Ronald R. Coifman, Andreas Coppi, Richard A. Deverse, William G. Fateley
  • Patent number: 7219086
    Abstract: A hyper-spectral analysis method for characterizing or distinguishing diverse elements within hyper-spectral images. A plurality of patches of pixels from within the hyper-spectral images are extracted as being patches around pixels of the elements to be characterized or distinguished. The statistics of spectra for each patch of pixels are computed. A first classifier is computed from frequency-wise standard deviation of the spectra in each patch and a set of second classifiers are computed from principal components of the spectral in each patch. A combined classifier is computed based on the output of the first classifier and at least one of the second classifiers. The elements are characterized or distinguished based on the output of at least one of the classifiers, preferably the combined classifier.
    Type: Grant
    Filed: March 7, 2005
    Date of Patent: May 15, 2007
    Assignee: Plain Sight Systems, Inc.
    Inventors: Frank Geshwind, Ronald R. Coifman, Andreas Coppi, Gustave L. Davis, Richard A. Deverse, William G. Fateley, Frederick J. Warner